* installing *source* package 'psqn' ...
** package 'psqn' successfully unpacked and MD5 sums checked
** using staged installation
** libs
using C++ compiler: 'g++.exe (GCC) 13.3.0'
make[1]: Entering directory '/d/temp/2024_12_18_01_50_01_11818/Rtmp8ywFcI/R.INSTALL1818c751adc5/psqn/src'
g++ -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/testthat/include' -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -I../inst/include/ -fopenmp -DPSQN_W_LAPACK -pedantic -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -DR_NO_REMAP -c RcppExports.cpp -o RcppExports.o
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:205,
from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Dense:1,
from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:28,
from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigen.h:25,
from RcppExports.cpp:5:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
| ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
| ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
49 | template<> struct is_arithmetic<__m128> { enum { value = true }; };
| ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
| ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
| ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
222 | template<> struct unpacket_traits<Packet4f> {
| ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
228 | template<> struct unpacket_traits<Packet2d> {
| ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
| ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
| ^
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/SparseCore:37,
from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Sparse:26,
from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
g++ -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/testthat/include' -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -I../inst/include/ -fopenmp -DPSQN_W_LAPACK -pedantic -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -DR_NO_REMAP -c r-api.cpp -o r-api.o
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:205,
from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Dense:1,
from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:28,
from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigen.h:25,
from ../inst/include/psqn-Rcpp-wrapper.h:9,
from r-api.cpp:6:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
| ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
| ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
49 | template<> struct is_arithmetic<__m128> { enum { value = true }; };
| ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
| ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
| ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
222 | template<> struct unpacket_traits<Packet4f> {
| ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
228 | template<> struct unpacket_traits<Packet2d> {
| ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
| ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
| ^
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/SparseCore:37,
from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Sparse:26,
from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34: required from 'class Eigen::internal::SparseRefBase<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7: required from 'class Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:37:41: required from 'struct Eigen::internal::is_ref_compatible_impl<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:43:81: required from 'struct Eigen::internal::is_ref_compatible<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:46:49: required from 'class Eigen::IterativeSolverBase<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:158:7: required from 'class Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >'
../inst/include/psqn.h:479:9: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix<double, -1, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteCholesky.h:173:14: required from 'class Eigen::IncompleteCholesky<double, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:431:18: required from 'class Eigen::IterativeSolverBase<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:158:7: required from 'class Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >'
../inst/include/psqn.h:479:9: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix<double, -1, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteCholesky.h:173:14: required from 'class Eigen::IncompleteCholesky<double, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:431:18: required from 'class Eigen::IterativeSolverBase<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:158:7: required from 'class Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >'
../inst/include/psqn.h:479:9: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >'
../inst/include/psqn.h:492:21: required from 'bool PSQN::base_optimizer<OptT, Tconstraint>::conj_grad(const double*, double*, double, PSQN::psqn_uint, int, PSQN::precondition) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
../inst/include/psqn.h:840:11: required from 'PSQN::optim_info PSQN::base_optimizer<OptT, Tconstraint>::optim(double*, double, PSQN::psqn_uint, double, double, bool, int, double, bool, PSQN::psqn_uint, PSQN::precondition, double) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
r-api.cpp:421:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteCholesky.h:212:17: required from 'void Eigen::IncompleteCholesky<Scalar, _UpLo, _OrderingType>::factorize(const _MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >; Scalar = double; int _UpLo = 3; _OrderingType = Eigen::AMDOrdering<int>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:221:31: required from 'Derived& Eigen::IterativeSolverBase<Derived>::factorize(const Eigen::EigenBase<OtherDerived>&) [with MatrixDerived = Eigen::SparseMatrix<double, 0, int>; Derived = Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >]'
../inst/include/psqn.h:480:19: required from 'bool PSQN::base_optimizer<OptT, Tconstraint>::conj_grad(const double*, double*, double, PSQN::psqn_uint, int, PSQN::precondition) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
../inst/include/psqn.h:840:11: required from 'PSQN::optim_info PSQN::base_optimizer<OptT, Tconstraint>::optim(double*, double, PSQN::psqn_uint, double, double, bool, int, double, bool, PSQN::psqn_uint, PSQN::precondition, double) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
r-api.cpp:421:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteCholesky.h:235:30: required from 'void Eigen::IncompleteCholesky<Scalar, _UpLo, _OrderingType>::factorize(const _MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >; Scalar = double; int _UpLo = 3; _OrderingType = Eigen::AMDOrdering<int>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:221:31: required from 'Derived& Eigen::IterativeSolverBase<Derived>::factorize(const Eigen::EigenBase<OtherDerived>&) [with MatrixDerived = Eigen::SparseMatrix<double, 0, int>; Derived = Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >]'
../inst/include/psqn.h:480:19: required from 'bool PSQN::base_optimizer<OptT, Tconstraint>::conj_grad(const double*, double*, double, PSQN::psqn_uint, int, PSQN::precondition) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
../inst/include/psqn.h:840:11: required from 'PSQN::optim_info PSQN::base_optimizer<OptT, Tconstraint>::optim(double*, double, PSQN::psqn_uint, double, double, bool, int, double, bool, PSQN::psqn_uint, PSQN::precondition, double) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
r-api.cpp:421:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteCholesky.h:235:42: required from 'void Eigen::IncompleteCholesky<Scalar, _UpLo, _OrderingType>::factorize(const _MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >; Scalar = double; int _UpLo = 3; _OrderingType = Eigen::AMDOrdering<int>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:221:31: required from 'Derived& Eigen::IterativeSolverBase<Derived>::factorize(const Eigen::EigenBase<OtherDerived>&) [with MatrixDerived = Eigen::SparseMatrix<double, 0, int>; Derived = Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >]'
../inst/include/psqn.h:480:19: required from 'bool PSQN::base_optimizer<OptT, Tconstraint>::conj_grad(const double*, double*, double, PSQN::psqn_uint, int, PSQN::precondition) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
../inst/include/psqn.h:840:11: required from 'PSQN::optim_info PSQN::base_optimizer<OptT, Tconstraint>::optim(double*, double, PSQN::psqn_uint, double, double, bool, int, double, bool, PSQN::psqn_uint, PSQN::precondition, double) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
r-api.cpp:421:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from 'class Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteCholesky.h:310:21: required from 'void Eigen::IncompleteCholesky<Scalar, _UpLo, _OrderingType>::factorize(const _MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >; Scalar = double; int _UpLo = 3; _OrderingType = Eigen::AMDOrdering<int>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:221:31: required from 'Derived& Eigen::IterativeSolverBase<Derived>::factorize(const Eigen::EigenBase<OtherDerived>&) [with MatrixDerived = Eigen::SparseMatrix<double, 0, int>; Derived = Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >]'
../inst/include/psqn.h:480:19: required from 'bool PSQN::base_optimizer<OptT, Tconstraint>::conj_grad(const double*, double*, double, PSQN::psqn_uint, int, PSQN::precondition) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
../inst/include/psqn.h:840:11: required from 'PSQN::optim_info PSQN::base_optimizer<OptT, Tconstraint>::optim(double*, double, PSQN::psqn_uint, double, double, bool, int, double, bool, PSQN::psqn_uint, PSQN::precondition, double) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
r-api.cpp:421:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteCholesky.h:323:16: required from 'void Eigen::IncompleteCholesky<Scalar, _UpLo, _OrderingType>::factorize(const _MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >; Scalar = double; int _UpLo = 3; _OrderingType = Eigen::AMDOrdering<int>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:221:31: required from 'Derived& Eigen::IterativeSolverBase<Derived>::factorize(const Eigen::EigenBase<OtherDerived>&) [with MatrixDerived = Eigen::SparseMatrix<double, 0, int>; Derived = Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >]'
../inst/include/psqn.h:480:19: required from 'bool PSQN::base_optimizer<OptT, Tconstraint>::conj_grad(const double*, double*, double, PSQN::psqn_uint, int, PSQN::precondition) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
../inst/include/psqn.h:840:11: required from 'PSQN::optim_info PSQN::base_optimizer<OptT, Tconstraint>::optim(double*, double, PSQN::psqn_uint, double, double, bool, int, double, bool, PSQN::psqn_uint, PSQN::precondition, double) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
r-api.cpp:421:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteCholesky.h:346:42: required from 'void Eigen::IncompleteCholesky<Scalar, _UpLo, _OrderingType>::factorize(const _MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >; Scalar = double; int _UpLo = 3; _OrderingType = Eigen::AMDOrdering<int>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:221:31: required from 'Derived& Eigen::IterativeSolverBase<Derived>::factorize(const Eigen::EigenBase<OtherDerived>&) [with MatrixDerived = Eigen::SparseMatrix<double, 0, int>; Derived = Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >]'
../inst/include/psqn.h:480:19: required from 'bool PSQN::base_optimizer<OptT, Tconstraint>::conj_grad(const double*, double*, double, PSQN::psqn_uint, int, PSQN::precondition) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
../inst/include/psqn.h:840:11: required from 'PSQN::optim_info PSQN::base_optimizer<OptT, Tconstraint>::optim(double*, double, PSQN::psqn_uint, double, double, bool, int, double, bool, PSQN::psqn_uint, PSQN::precondition, double) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
r-api.cpp:421:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:277:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from 'struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteCholesky.h:346:21: required from 'void Eigen::IncompleteCholesky<Scalar, _UpLo, _OrderingType>::factorize(const _MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >; Scalar = double; int _UpLo = 3; _OrderingType = Eigen::AMDOrdering<int>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:221:31: required from 'Derived& Eigen::IterativeSolverBase<Derived>::factorize(const Eigen::EigenBase<OtherDerived>&) [with MatrixDerived = Eigen::SparseMatrix<double, 0, int>; Derived = Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >]'
../inst/include/psqn.h:480:19: required from 'bool PSQN::base_optimizer<OptT, Tconstraint>::conj_grad(const double*, double*, double, PSQN::psqn_uint, int, PSQN::precondition) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
../inst/include/psqn.h:840:11: required from 'PSQN::optim_info PSQN::base_optimizer<OptT, Tconstraint>::optim(double*, double, PSQN::psqn_uint, double, double, bool, int, double, bool, PSQN::psqn_uint, PSQN::precondition, double) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
r-api.cpp:421:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1, int> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix<double, 1, int>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1040:66: required from 'void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; SparseMatrixType = Eigen::SparseMatrix<double, 0, int>; DupFunctor = scalar_sum_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
../inst/include/psqn.h:1889:33: required from 'void PSQN::optimizer<EFunc, TReporter, Tinterrupter, Tcaller, Tconstraint>::fill_sparse_B_mat() [with EFunc = r_worker_psqn; TReporter = PSQN::R_reporter; Tinterrupter = PSQN::R_interrupter; Tcaller = PSQN::default_caller<r_worker_psqn>; Tconstraint = PSQN::default_constraint]'
../inst/include/psqn.h:1965:5: required from 'Eigen::SparseMatrix<double, 0, int> PSQN::optimizer<EFunc, TReporter, Tinterrupter, Tcaller, Tconstraint>::true_hess_sparse(const double*, double, double, double, unsigned int) [with EFunc = r_worker_psqn; TReporter = PSQN::R_reporter; Tinterrupter = PSQN::R_interrupter; Tcaller = PSQN::default_caller<r_worker_psqn>; Tconstraint = PSQN::default_constraint]'
r-api.cpp:573:32: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 1, int>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 1, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseMatrix<double, 1, int>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7: required from 'void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; SparseMatrixType = Eigen::SparseMatrix<double, 0, int>; DupFunctor = scalar_sum_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
../inst/include/psqn.h:1889:33: required from 'void PSQN::optimizer<EFunc, TReporter, Tinterrupter, Tcaller, Tconstraint>::fill_sparse_B_mat() [with EFunc = r_worker_psqn; TReporter = PSQN::R_reporter; Tinterrupter = PSQN::R_interrupter; Tcaller = PSQN::default_caller<r_worker_psqn>; Tconstraint = PSQN::default_constraint]'
../inst/include/psqn.h:1965:5: required from 'Eigen::SparseMatrix<double, 0, int> PSQN::optimizer<EFunc, TReporter, Tinterrupter, Tcaller, Tconstraint>::true_hess_sparse(const double*, double, double, double, unsigned int) [with EFunc = r_worker_psqn; TReporter = PSQN::R_reporter; Tinterrupter = PSQN::R_interrupter; Tcaller = PSQN::default_caller<r_worker_psqn>; Tconstraint = PSQN::default_constraint]'
r-api.cpp:573:32: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, 1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteCholesky.h:226:18: required from 'void Eigen::IncompleteCholesky<Scalar, _UpLo, _OrderingType>::factorize(const _MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >; Scalar = double; int _UpLo = 3; _OrderingType = Eigen::AMDOrdering<int>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:221:31: required from 'Derived& Eigen::IterativeSolverBase<Derived>::factorize(const Eigen::EigenBase<OtherDerived>&) [with MatrixDerived = Eigen::SparseMatrix<double, 0, int>; Derived = Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >]'
../inst/include/psqn.h:480:19: required from 'bool PSQN::base_optimizer<OptT, Tconstraint>::conj_grad(const double*, double*, double, PSQN::psqn_uint, int, PSQN::precondition) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
../inst/include/psqn.h:840:11: required from 'PSQN::optim_info PSQN::base_optimizer<OptT, Tconstraint>::optim(double*, double, PSQN::psqn_uint, double, double, bool, int, double, bool, PSQN::psqn_uint, PSQN::precondition, double) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
r-api.cpp:421:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteCholesky.h:385:21: required from 'void Eigen::IncompleteCholesky<Scalar, _UpLo, _OrderingType>::updateList(Eigen::Ref<const Eigen::Matrix<typename _OrderingType::PermutationType::StorageIndex, -1, 1> >, Eigen::Ref<Eigen::Matrix<typename _OrderingType::PermutationType::StorageIndex, -1, 1> >, Eigen::Ref<Eigen::Matrix<Type, -1, 1> >, const Eigen::Index&, const Eigen::Index&, VectorIx&, VectorList&) [with Scalar = double; int _UpLo = 3; _OrderingType = Eigen::AMDOrdering<int>; typename _OrderingType::PermutationType::StorageIndex = int; typename _OrderingType::PermutationType = Eigen::PermutationMatrix<-1, -1, int>; typename Eigen::internal::conditional<const Eigen::Matrix<typename _OrderingType::PermutationType::StorageIndex, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Matrix<typename _OrderingType::PermutationType::StorageIndex, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Matrix<Type, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; Eigen::Index = long long int; VectorIx = Eigen::Matrix<int, -1, 1>; VectorList = std::vector<std::__cxx11::list<int, std::allocator<int> >, std::allocator<std::__cxx11::list<int, std::allocator<int> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteCholesky.h:310:11: required from 'void Eigen::IncompleteCholesky<Scalar, _UpLo, _OrderingType>::factorize(const _MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >; Scalar = double; int _UpLo = 3; _OrderingType = Eigen::AMDOrdering<int>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:221:31: required from 'Derived& Eigen::IterativeSolverBase<Derived>::factorize(const Eigen::EigenBase<OtherDerived>&) [with MatrixDerived = Eigen::SparseMatrix<double, 0, int>; Derived = Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >]'
../inst/include/psqn.h:480:19: required from 'bool PSQN::base_optimizer<OptT, Tconstraint>::conj_grad(const double*, double*, double, PSQN::psqn_uint, int, PSQN::precondition) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
../inst/include/psqn.h:840:11: required from 'PSQN::optim_info PSQN::base_optimizer<OptT, Tconstraint>::optim(double*, double, PSQN::psqn_uint, double, double, bool, int, double, bool, PSQN::psqn_uint, PSQN::precondition, double) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
r-api.cpp:421:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 0, int>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:79:45: required from 'void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix<double, 0, int>; SrcXprType = Eigen::SparseMatrix<double, 1, int>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::SparseMatrix<double, 0, int>; SrcXprType = Eigen::SparseMatrix<double, 1, int>; Functor = Eigen::internal::assign_op<double, double>; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from 'Derived& Eigen::SparseMatrixBase<Derived>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseMatrix<double, 1, int>; Derived = Eigen::SparseMatrix<double, 0, int>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27: required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseMatrix<double, 1, int>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7: required from 'void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; SparseMatrixType = Eigen::SparseMatrix<double, 0, int>; DupFunctor = scalar_sum_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
../inst/include/psqn.h:1889:33: required from 'void PSQN::optimizer<EFunc, TReporter, Tinterrupter, Tcaller, Tconstraint>::fill_sparse_B_mat() [with EFunc = r_worker_psqn; TReporter = PSQN::R_reporter; Tinterrupter = PSQN::R_interrupter; Tcaller = PSQN::default_caller<r_worker_psqn>; Tconstraint = PSQN::default_constraint]'
../inst/include/psqn.h:1965:5: required from 'Eigen::SparseMatrix<double, 0, int> PSQN::optimizer<EFunc, TReporter, Tinterrupter, Tcaller, Tconstraint>::true_hess_sparse(const double*, double, double, double, unsigned int) [with EFunc = r_worker_psqn; TReporter = PSQN::R_reporter; Tinterrupter = PSQN::R_interrupter; Tcaller = PSQN::default_caller<r_worker_psqn>; Tconstraint = PSQN::default_constraint]'
r-api.cpp:573:32: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:364:8: required from 'struct Eigen::internal::evaluator<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseSelfAdjointView.h:437:57: required from 'void Eigen::internal::permute_symm_to_fullsymm(const MatrixType&, Eigen::SparseMatrix<typename MatrixType::Scalar, DestOrder, typename MatrixType::StorageIndex>&, const typename MatrixType::StorageIndex*) [with int Mode = 3; MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >; int DestOrder = 1; typename MatrixType::Scalar = double; typename MatrixType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseSelfAdjointView.h:644:45: required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::SparseSymmetricPermutationProduct<MatrixType, Mode>, Eigen::internal::assign_op<Scalar, typename MatrixType::Scalar>, Eigen::internal::Sparse2Sparse>::run(Eigen::SparseMatrix<Scalar, Options, typename DstXprType::StorageIndex>&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, typename MatrixType::Scalar>&) [with int Options = 0; DstXprType = Eigen::SparseMatrix<double, 0, int>; MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >; int Mode = 3; Scalar = double; typename DstXprType::StorageIndex = int; SrcXprType = Eigen::SparseSymmetricPermutationProduct<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, 3>; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::SparseMatrix<double, 0, int>; Src = Eigen::SparseSymmetricPermutationProduct<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, 3>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:917:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:787:29: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::SparseSymmetricPermutationProduct<Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, 3>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteCholesky.h:202:9: required from 'void Eigen::IncompleteCholesky<Scalar, _UpLo, _OrderingType>::factorize(const _MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >; Scalar = double; int _UpLo = 3; _OrderingType = Eigen::AMDOrdering<int>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:221:31: required from 'Derived& Eigen::IterativeSolverBase<Derived>::factorize(const Eigen::EigenBase<OtherDerived>&) [with MatrixDerived = Eigen::SparseMatrix<double, 0, int>; Derived = Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >]'
../inst/include/psqn.h:480:19: required from 'bool PSQN::base_optimizer<OptT, Tconstraint>::conj_grad(const double*, double*, double, PSQN::psqn_uint, int, PSQN::precondition) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
../inst/include/psqn.h:840:11: required from 'PSQN::optim_info PSQN::base_optimizer<OptT, Tconstraint>::optim(double*, double, PSQN::psqn_uint, double, double, bool, int, double, bool, PSQN::psqn_uint, PSQN::precondition, double) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
r-api.cpp:421:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > > >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, 1024>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:218:21: required from 'void Eigen::ConjugateGradient<_MatrixType, _UpLo, _Preconditioner>::_solve_vector_with_guess_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::SparseMatrix<double, 0, int>; int _UpLo = 3; _Preconditioner = Eigen::IncompleteCholesky<double, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:395:44: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
../inst/include/psqn.h:492:11: required from 'bool PSQN::base_optimizer<OptT, Tconstraint>::conj_grad(const double*, double*, double, PSQN::psqn_uint, int, PSQN::precondition) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
../inst/include/psqn.h:840:11: required from 'PSQN::optim_info PSQN::base_optimizer<OptT, Tconstraint>::optim(double*, double, PSQN::psqn_uint, double, double, bool, int, double, bool, PSQN::psqn_uint, PSQN::precondition, double) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
r-api.cpp:421:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > >, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:43:35: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
../inst/include/psqn.h:492:11: required from 'bool PSQN::base_optimizer<OptT, Tconstraint>::conj_grad(const double*, double*, double, PSQN::psqn_uint, int, PSQN::precondition) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
../inst/include/psqn.h:840:11: required from 'PSQN::optim_info PSQN::base_optimizer<OptT, Tconstraint>::optim(double*, double, PSQN::psqn_uint, double, double, bool, int, double, bool, PSQN::psqn_uint, PSQN::precondition, double) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
r-api.cpp:421:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > >, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > >, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > >, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:43:29: required from 'void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::IncompleteCholesky<double, 3>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
../inst/include/psqn.h:492:11: required from 'bool PSQN::base_optimizer<OptT, Tconstraint>::conj_grad(const double*, double*, double, PSQN::psqn_uint, int, PSQN::precondition) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
../inst/include/psqn.h:840:11: required from 'PSQN::optim_info PSQN::base_optimizer<OptT, Tconstraint>::optim(double*, double, PSQN::psqn_uint, double, double, bool, int, double, bool, PSQN::psqn_uint, PSQN::precondition, double) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
r-api.cpp:421:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::IncompleteCholesky<double, 3>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::IncompleteCholesky<double, 3>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::IncompleteCholesky<double, 3>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl<Eigen::IncompleteCholesky<double, 3>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve<Eigen::IncompleteCholesky<double, 3>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:64:20: required from 'void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::IncompleteCholesky<double, 3>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
../inst/include/psqn.h:492:11: required from 'bool PSQN::base_optimizer<OptT, Tconstraint>::conj_grad(const double*, double*, double, PSQN::psqn_uint, int, PSQN::precondition) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
../inst/include/psqn.h:840:11: required from 'PSQN::optim_info PSQN::base_optimizer<OptT, Tconstraint>::optim(double*, double, PSQN::psqn_uint, double, double, bool, int, double, bool, PSQN::psqn_uint, PSQN::precondition, double) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
r-api.cpp:421:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
../inst/include/psqn.h:492:11: required from 'bool PSQN::base_optimizer<OptT, Tconstraint>::conj_grad(const double*, double*, double, PSQN::psqn_uint, int, PSQN::precondition) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
../inst/include/psqn.h:840:11: required from 'PSQN::optim_info PSQN::base_optimizer<OptT, Tconstraint>::optim(double*, double, PSQN::psqn_uint, double, double, bool, int, double, bool, PSQN::psqn_uint, PSQN::precondition, double) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
r-api.cpp:421:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:74:16: required from 'void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::IncompleteCholesky<double, 3>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
../inst/include/psqn.h:492:11: required from 'bool PSQN::base_optimizer<OptT, Tconstraint>::conj_grad(const double*, double*, double, PSQN::psqn_uint, int, PSQN::precondition) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
../inst/include/psqn.h:840:11: required from 'PSQN::optim_info PSQN::base_optimizer<OptT, Tconstraint>::optim(double*, double, PSQN::psqn_uint, double, double, bool, int, double, bool, PSQN::psqn_uint, PSQN::precondition, double) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
r-api.cpp:421:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:86:11: required from 'void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::IncompleteCholesky<double, 3>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
../inst/include/psqn.h:492:11: required from 'bool PSQN::base_optimizer<OptT, Tconstraint>::conj_grad(const double*, double*, double, PSQN::psqn_uint, int, PSQN::precondition) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
../inst/include/psqn.h:840:11: required from 'PSQN::optim_info PSQN::base_optimizer<OptT, Tconstraint>::optim(double*, double, PSQN::psqn_uint, double, double, bool, int, double, bool, PSQN::psqn_uint, PSQN::precondition, double) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
r-api.cpp:421:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:45:40: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
../inst/include/psqn.h:492:11: required from 'bool PSQN::base_optimizer<OptT, Tconstraint>::conj_grad(const double*, double*, double, PSQN::psqn_uint, int, PSQN::precondition) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
../inst/include/psqn.h:840:11: required from 'PSQN::optim_info PSQN::base_optimizer<OptT, Tconstraint>::optim(double*, double, PSQN::psqn_uint, double, double, bool, int, double, bool, PSQN::psqn_uint, PSQN::precondition, double) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
r-api.cpp:421:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
../inst/include/psqn.h:492:11: required from 'bool PSQN::base_optimizer<OptT, Tconstraint>::conj_grad(const double*, double*, double, PSQN::psqn_uint, int, PSQN::precondition) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
../inst/include/psqn.h:840:11: required from 'PSQN::optim_info PSQN::base_optimizer<OptT, Tconstraint>::optim(double*, double, PSQN::psqn_uint, double, double, bool, int, double, bool, PSQN::psqn_uint, PSQN::precondition, double) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
r-api.cpp:421:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:45:40: required from 'void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::OuterStride<> > >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::IncompleteCholesky<double, 3>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
../inst/include/psqn.h:492:11: required from 'bool PSQN::base_optimizer<OptT, Tconstraint>::conj_grad(const double*, double*, double, PSQN::psqn_uint, int, PSQN::precondition) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
../inst/include/psqn.h:840:11: required from 'PSQN::optim_info PSQN::base_optimizer<OptT, Tconstraint>::optim(double*, double, PSQN::psqn_uint, double, double, bool, int, double, bool, PSQN::psqn_uint, PSQN::precondition, double) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
r-api.cpp:421:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:67:48: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
../inst/include/psqn.h:492:11: required from 'bool PSQN::base_optimizer<OptT, Tconstraint>::conj_grad(const double*, double*, double, PSQN::psqn_uint, int, PSQN::precondition) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
../inst/include/psqn.h:840:11: required from 'PSQN::optim_info PSQN::base_optimizer<OptT, Tconstraint>::optim(double*, double, PSQN::psqn_uint, double, double, bool, int, double, bool, PSQN::psqn_uint, PSQN::precondition, double) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
r-api.cpp:421:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteCholesky.h:152:50: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
../inst/include/psqn.h:492:11: required from 'bool PSQN::base_optimizer<OptT, Tconstraint>::conj_grad(const double*, double*, double, PSQN::psqn_uint, int, PSQN::precondition) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
../inst/include/psqn.h:840:11: required from 'PSQN::optim_info PSQN::base_optimizer<OptT, Tconstraint>::optim(double*, double, PSQN::psqn_uint, double, double, bool, int, double, bool, PSQN::psqn_uint, PSQN::precondition, double) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
r-api.cpp:421:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 1, 7>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteCholesky.h:154:32: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
../inst/include/psqn.h:492:11: required from 'bool PSQN::base_optimizer<OptT, Tconstraint>::conj_grad(const double*, double*, double, PSQN::psqn_uint, int, PSQN::precondition) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
../inst/include/psqn.h:840:11: required from 'PSQN::optim_info PSQN::base_optimizer<OptT, Tconstraint>::optim(double*, double, PSQN::psqn_uint, double, double, bool, int, double, bool, PSQN::psqn_uint, PSQN::precondition, double) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
r-api.cpp:421:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::SparseMatrix<double, 0, int>, 1> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl<const Eigen::SparseMatrix<double, 0, int>, 1, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView<const Eigen::SparseMatrix<double, 0, int>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteCholesky.h:155:45: required from 'void Eigen::IncompleteCholesky<Scalar, _UpLo, _OrderingType>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Scalar = double; int _UpLo = 3; _OrderingType = Eigen::AMDOrdering<int>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::IncompleteCholesky<double, 3>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::IncompleteCholesky<double, 3>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::IncompleteCholesky<double, 3>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
../inst/include/psqn.h:492:11: required from 'bool PSQN::base_optimizer<OptT, Tconstraint>::conj_grad(const double*, double*, double, PSQN::psqn_uint, int, PSQN::precondition) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
../inst/include/psqn.h:840:11: required from 'PSQN::optim_info PSQN::base_optimizer<OptT, Tconstraint>::optim(double*, double, PSQN::psqn_uint, double, double, bool, int, double, bool, PSQN::psqn_uint, PSQN::precondition, double) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
r-api.cpp:421:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 0, int>, 1>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 0, int>, 1>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 0, int>, 1>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::SparseMatrix<double, 0, int>, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 0, int>, 1>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteCholesky.h:155:53: required from 'void Eigen::IncompleteCholesky<Scalar, _UpLo, _OrderingType>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Scalar = double; int _UpLo = 3; _OrderingType = Eigen::AMDOrdering<int>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
../inst/include/psqn.h:492:11: required from 'bool PSQN::base_optimizer<OptT, Tconstraint>::conj_grad(const double*, double*, double, PSQN::psqn_uint, int, PSQN::precondition) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
../inst/include/psqn.h:840:11: required from 'PSQN::optim_info PSQN::base_optimizer<OptT, Tconstraint>::optim(double*, double, PSQN::psqn_uint, double, double, bool, int, double, bool, PSQN::psqn_uint, PSQN::precondition, double) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
r-api.cpp:421:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> > >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl<const Eigen::SparseMatrix<double, 0, int>, 1024>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl<const Eigen::SparseMatrix<double, 0, int>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteCholesky.h:156:22: required from 'void Eigen::IncompleteCholesky<Scalar, _UpLo, _OrderingType>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Scalar = double; int _UpLo = 3; _OrderingType = Eigen::AMDOrdering<int>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
../inst/include/psqn.h:492:11: required from 'bool PSQN::base_optimizer<OptT, Tconstraint>::conj_grad(const double*, double*, double, PSQN::psqn_uint, int, PSQN::precondition) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
../inst/include/psqn.h:840:11: required from 'PSQN::optim_info PSQN::base_optimizer<OptT, Tconstraint>::optim(double*, double, PSQN::psqn_uint, double, double, bool, int, double, bool, PSQN::psqn_uint, PSQN::precondition, double) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
r-api.cpp:421:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from 'class Eigen::TriangularViewImpl<const Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView<const Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteCholesky.h:156:55: required from 'void Eigen::IncompleteCholesky<Scalar, _UpLo, _OrderingType>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Scalar = double; int _UpLo = 3; _OrderingType = Eigen::AMDOrdering<int>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::IncompleteCholesky<double, 3>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::IncompleteCholesky<double, 3>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::IncompleteCholesky<double, 3>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
../inst/include/psqn.h:492:11: required from 'bool PSQN::base_optimizer<OptT, Tconstraint>::conj_grad(const double*, double*, double, PSQN::psqn_uint, int, PSQN::precondition) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
../inst/include/psqn.h:840:11: required from 'PSQN::optim_info PSQN::base_optimizer<OptT, Tconstraint>::optim(double*, double, PSQN::psqn_uint, double, double, bool, int, double, bool, PSQN::psqn_uint, PSQN::precondition, double) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
r-api.cpp:421:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteCholesky.h:156:63: required from 'void Eigen::IncompleteCholesky<Scalar, _UpLo, _OrderingType>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Scalar = double; int _UpLo = 3; _OrderingType = Eigen::AMDOrdering<int>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
../inst/include/psqn.h:492:11: required from 'bool PSQN::base_optimizer<OptT, Tconstraint>::conj_grad(const double*, double*, double, PSQN::psqn_uint, int, PSQN::precondition) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
../inst/include/psqn.h:840:11: required from 'PSQN::optim_info PSQN::base_optimizer<OptT, Tconstraint>::optim(double*, double, PSQN::psqn_uint, double, double, bool, int, double, bool, PSQN::psqn_uint, PSQN::precondition, double) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
r-api.cpp:421:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Matrix<double, -1, 1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Matrix<double, -1, 1>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Matrix<double, -1, 1>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteCholesky.h:159:30: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
../inst/include/psqn.h:492:11: required from 'bool PSQN::base_optimizer<OptT, Tconstraint>::conj_grad(const double*, double*, double, PSQN::psqn_uint, int, PSQN::precondition) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
../inst/include/psqn.h:840:11: required from 'PSQN::optim_info PSQN::base_optimizer<OptT, Tconstraint>::optim(double*, double, PSQN::psqn_uint, double, double, bool, int, double, bool, PSQN::psqn_uint, PSQN::precondition, double) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
r-api.cpp:421:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
../inst/include/psqn.h:492:11: required from 'bool PSQN::base_optimizer<OptT, Tconstraint>::conj_grad(const double*, double*, double, PSQN::psqn_uint, int, PSQN::precondition) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
../inst/include/psqn.h:840:11: required from 'PSQN::optim_info PSQN::base_optimizer<OptT, Tconstraint>::optim(double*, double, PSQN::psqn_uint, double, double, bool, int, double, bool, PSQN::psqn_uint, PSQN::precondition, double) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
r-api.cpp:421:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 1>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, 1>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
../inst/include/psqn.h:492:11: required from 'bool PSQN::base_optimizer<OptT, Tconstraint>::conj_grad(const double*, double*, double, PSQN::psqn_uint, int, PSQN::precondition) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
../inst/include/psqn.h:840:11: required from 'PSQN::optim_info PSQN::base_optimizer<OptT, Tconstraint>::optim(double*, double, PSQN::psqn_uint, double, double, bool, int, double, bool, PSQN::psqn_uint, PSQN::precondition, double) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
r-api.cpp:421:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
../inst/include/psqn.h:492:11: required from 'bool PSQN::base_optimizer<OptT, Tconstraint>::conj_grad(const double*, double*, double, PSQN::psqn_uint, int, PSQN::precondition) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
../inst/include/psqn.h:840:11: required from 'PSQN::optim_info PSQN::base_optimizer<OptT, Tconstraint>::optim(double*, double, PSQN::psqn_uint, double, double, bool, int, double, bool, PSQN::psqn_uint, PSQN::precondition, double) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
r-api.cpp:421:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
../inst/include/psqn.h:492:11: required from 'bool PSQN::base_optimizer<OptT, Tconstraint>::conj_grad(const double*, double*, double, PSQN::psqn_uint, int, PSQN::precondition) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
../inst/include/psqn.h:840:11: required from 'PSQN::optim_info PSQN::base_optimizer<OptT, Tconstraint>::optim(double*, double, PSQN::psqn_uint, double, double, bool, int, double, bool, PSQN::psqn_uint, PSQN::precondition, double) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
r-api.cpp:421:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double, 0, int>, 3, Eigen::IncompleteCholesky<double, 3> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
../inst/include/psqn.h:492:11: required from 'bool PSQN::base_optimizer<OptT, Tconstraint>::conj_grad(const double*, double*, double, PSQN::psqn_uint, int, PSQN::precondition) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
../inst/include/psqn.h:840:11: required from 'PSQN::optim_info PSQN::base_optimizer<OptT, Tconstraint>::optim(double*, double, PSQN::psqn_uint, double, double, bool, int, double, bool, PSQN::psqn_uint, PSQN::precondition, double) [with OptT = PSQN::optimizer<r_worker_psqn, PSQN::R_reporter, PSQN::R_interrupter>; Tconstraint = PSQN::default_constraint; PSQN::psqn_uint = unsigned int]'
r-api.cpp:421:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
g++ -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/testthat/include' -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -I../inst/include/ -fopenmp -DPSQN_W_LAPACK -pedantic -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -DR_NO_REMAP -c test-intrapolate.cpp -o test-intrapolate.o
g++ -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/testthat/include' -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -I../inst/include/ -fopenmp -DPSQN_W_LAPACK -pedantic -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -DR_NO_REMAP -c test-lp.cpp -o test-lp.o
g++ -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/testthat/include' -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -I../inst/include/ -fopenmp -DPSQN_W_LAPACK -pedantic -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -DR_NO_REMAP -c test-richardson-extrapolation.cpp -o test-richardson-extrapolation.o
g++ -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/testthat/include' -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -I../inst/include/ -fopenmp -DPSQN_W_LAPACK -pedantic -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -DR_NO_REMAP -c test-runner.cpp -o test-runner.o
g++ -std=gnu++17 -shared -s -static-libgcc -o psqn.dll tmp.def RcppExports.o r-api.o test-intrapolate.o test-lp.o test-richardson-extrapolation.o test-runner.o -LD:/RCompile/recent/R/bin/x64 -lRlapack -LD:/RCompile/recent/R/bin/x64 -lRblas -lgfortran -lm -lquadmath -fopenmp -Ld:/rtools44/x86_64-w64-mingw32.static.posix/lib/x64 -Ld:/rtools44/x86_64-w64-mingw32.static.posix/lib -LD:/RCompile/recent/R/bin/x64 -lR
make[1]: Leaving directory '/d/temp/2024_12_18_01_50_01_11818/Rtmp8ywFcI/R.INSTALL1818c751adc5/psqn/src'
make[1]: Entering directory '/d/temp/2024_12_18_01_50_01_11818/Rtmp8ywFcI/R.INSTALL1818c751adc5/psqn/src'
make[1]: Leaving directory '/d/temp/2024_12_18_01_50_01_11818/Rtmp8ywFcI/R.INSTALL1818c751adc5/psqn/src'
installing to d:/Rcompile/CRANpkg/lib/4.5/00LOCK-psqn/00new/psqn/libs/x64
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* MD5 sums
packaged installation of 'psqn' as psqn_0.3.2.zip
* DONE (psqn)