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synced 2026-04-10 11:34:33 +08:00
move sparse solvers from unsupported/ to main Eigen/ and remove the "not stable yet" warning
This commit is contained in:
@@ -2,46 +2,6 @@
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include_directories(../../test ../../unsupported ../../Eigen
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${CMAKE_CURRENT_BINARY_DIR}/../../test)
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set(SPARSE_LIBS "")
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# configure blas/lapack (use Eigen's by default)
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set(BLAS_FOUND TRUE)
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set(LAPACK_FOUND TRUE)
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set(BLAS_LIBRARIES eigen_blas)
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set(LAPACK_LIBRARIES eigen_lapack)
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find_package(Cholmod)
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if(CHOLMOD_FOUND AND BLAS_FOUND AND LAPACK_FOUND)
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add_definitions("-DEIGEN_CHOLMOD_SUPPORT")
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include_directories(${CHOLMOD_INCLUDES})
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set(SPARSE_LIBS ${SPARSE_LIBS} ${CHOLMOD_LIBRARIES} ${BLAS_LIBRARIES} ${LAPACK_LIBRARIES})
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ei_add_property(EIGEN_TESTED_BACKENDS "Cholmod, ")
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else()
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ei_add_property(EIGEN_MISSING_BACKENDS "Cholmod, ")
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endif()
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find_package(Umfpack)
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if(UMFPACK_FOUND AND BLAS_FOUND)
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add_definitions("-DEIGEN_UMFPACK_SUPPORT")
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include_directories(${UMFPACK_INCLUDES})
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set(SPARSE_LIBS ${SPARSE_LIBS} ${UMFPACK_LIBRARIES} ${BLAS_LIBRARIES})
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set(UMFPACK_ALL_LIBS ${UMFPACK_LIBRARIES} ${BLAS_LIBRARIES})
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ei_add_property(EIGEN_TESTED_BACKENDS "UmfPack, ")
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else()
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ei_add_property(EIGEN_MISSING_BACKENDS "UmfPack, ")
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endif()
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find_package(SuperLU)
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if(SUPERLU_FOUND AND BLAS_FOUND)
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add_definitions("-DEIGEN_SUPERLU_SUPPORT")
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include_directories(${SUPERLU_INCLUDES})
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set(SPARSE_LIBS ${SPARSE_LIBS} ${SUPERLU_LIBRARIES} ${BLAS_LIBRARIES})
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set(SUPERLU_ALL_LIBS ${SUPERLU_LIBRARIES} ${BLAS_LIBRARIES})
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ei_add_property(EIGEN_TESTED_BACKENDS "SuperLU, ")
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else()
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ei_add_property(EIGEN_MISSING_BACKENDS "SuperLU, ")
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endif()
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find_package(GoogleHash)
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if(GOOGLEHASH_FOUND)
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add_definitions("-DEIGEN_GOOGLEHASH_SUPPORT")
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@@ -88,22 +48,6 @@ else()
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ei_add_property(EIGEN_MISSING_BACKENDS "MPFR C++, ")
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endif()
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ei_add_test(sparse_llt "" "${SPARSE_LIBS}")
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ei_add_test(sparse_ldlt "" "${SPARSE_LIBS}")
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ei_add_test(sparse_lu_legacy "" "${SPARSE_LIBS}")
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ei_add_test(simplicial_cholesky)
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ei_add_test(conjugate_gradient)
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ei_add_test(bicgstab)
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if(UMFPACK_FOUND)
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ei_add_test(umfpack_support "" "${UMFPACK_ALL_LIBS}")
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endif()
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if(SUPERLU_FOUND)
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ei_add_test(superlu_support "" "${SUPERLU_ALL_LIBS}")
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endif()
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ei_add_test(sparse_extra "" "")
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find_package(FFTW)
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@@ -150,4 +94,3 @@ endif(GSL_FOUND)
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ei_add_test(polynomialsolver " " "${GSL_LIBRARIES}" )
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ei_add_test(polynomialutils)
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ei_add_test(kronecker_product)
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ei_add_test(cg)
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@@ -1,45 +0,0 @@
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// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2011 Gael Guennebaud <g.gael@free.fr>
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//
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// Eigen is free software; you can redistribute it and/or
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// modify it under the terms of the GNU Lesser General Public
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// License as published by the Free Software Foundation; either
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// version 3 of the License, or (at your option) any later version.
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//
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// Alternatively, you can redistribute it and/or
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// modify it under the terms of the GNU General Public License as
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// published by the Free Software Foundation; either version 2 of
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// the License, or (at your option) any later version.
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//
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// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
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// GNU General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public
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// License and a copy of the GNU General Public License along with
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#include "sparse_solver.h"
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#include <Eigen/IterativeSolvers>
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template<typename T> void test_bicgstab_T()
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{
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BiCGSTAB<SparseMatrix<T>, DiagonalPreconditioner<T> > bicgstab_colmajor_diag;
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BiCGSTAB<SparseMatrix<T>, IdentityPreconditioner > bicgstab_colmajor_I;
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BiCGSTAB<SparseMatrix<T>, IncompleteLU<T> > bicgstab_colmajor_ilu;
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CALL_SUBTEST( check_sparse_square_solving(bicgstab_colmajor_diag) );
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CALL_SUBTEST( check_sparse_square_solving(bicgstab_colmajor_I) );
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CALL_SUBTEST( check_sparse_square_solving(bicgstab_colmajor_ilu) );
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}
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void test_bicgstab()
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{
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for(int i = 0; i < g_repeat; i++) {
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CALL_SUBTEST_1(test_bicgstab_T<double>());
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//CALL_SUBTEST_2(test_bicgstab_T<std::complex<double> >());
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}
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}
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@@ -1,47 +0,0 @@
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// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2011 Gael Guennebaud <g.gael@free.fr>
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//
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// Eigen is free software; you can redistribute it and/or
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// modify it under the terms of the GNU Lesser General Public
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// License as published by the Free Software Foundation; either
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// version 3 of the License, or (at your option) any later version.
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//
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// Alternatively, you can redistribute it and/or
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// modify it under the terms of the GNU General Public License as
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// published by the Free Software Foundation; either version 2 of
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// the License, or (at your option) any later version.
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//
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// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
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// GNU General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public
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// License and a copy of the GNU General Public License along with
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#include "sparse_solver.h"
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#include <Eigen/IterativeSolvers>
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template<typename T> void test_conjugate_gradient_T()
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{
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ConjugateGradient<SparseMatrix<T>, Lower> cg_colmajor_lower_diag;
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ConjugateGradient<SparseMatrix<T>, Upper> cg_colmajor_upper_diag;
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ConjugateGradient<SparseMatrix<T>, Lower, IdentityPreconditioner> cg_colmajor_lower_I;
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ConjugateGradient<SparseMatrix<T>, Upper, IdentityPreconditioner> cg_colmajor_upper_I;
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CALL_SUBTEST( check_sparse_spd_solving(cg_colmajor_lower_diag) );
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CALL_SUBTEST( check_sparse_spd_solving(cg_colmajor_upper_diag) );
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CALL_SUBTEST( check_sparse_spd_solving(cg_colmajor_lower_I) );
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CALL_SUBTEST( check_sparse_spd_solving(cg_colmajor_upper_I) );
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}
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void test_conjugate_gradient()
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{
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for(int i = 0; i < g_repeat; i++) {
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CALL_SUBTEST_1(test_conjugate_gradient_T<double>());
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CALL_SUBTEST_2(test_conjugate_gradient_T<std::complex<double> >());
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}
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}
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@@ -1,57 +0,0 @@
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// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2011 Gael Guennebaud <g.gael@free.fr>
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//
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// Eigen is free software; you can redistribute it and/or
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// modify it under the terms of the GNU Lesser General Public
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// License as published by the Free Software Foundation; either
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// version 3 of the License, or (at your option) any later version.
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//
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// Alternatively, you can redistribute it and/or
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// modify it under the terms of the GNU General Public License as
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// published by the Free Software Foundation; either version 2 of
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// the License, or (at your option) any later version.
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//
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// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
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// GNU General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public
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// License and a copy of the GNU General Public License along with
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#include "sparse_solver.h"
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template<typename T> void test_simplicial_cholesky_T()
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{
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SimplicialCholesky<SparseMatrix<T>, Lower> chol_colmajor_lower;
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SimplicialCholesky<SparseMatrix<T>, Upper> chol_colmajor_upper;
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SimplicialLLt<SparseMatrix<T>, Lower> llt_colmajor_lower;
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SimplicialLDLt<SparseMatrix<T>, Upper> llt_colmajor_upper;
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SimplicialLDLt<SparseMatrix<T>, Lower> ldlt_colmajor_lower;
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SimplicialLDLt<SparseMatrix<T>, Upper> ldlt_colmajor_upper;
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check_sparse_spd_solving(chol_colmajor_lower);
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check_sparse_spd_solving(chol_colmajor_upper);
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check_sparse_spd_solving(llt_colmajor_lower);
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check_sparse_spd_solving(llt_colmajor_upper);
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check_sparse_spd_solving(ldlt_colmajor_lower);
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check_sparse_spd_solving(ldlt_colmajor_upper);
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check_sparse_spd_determinant(chol_colmajor_lower);
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check_sparse_spd_determinant(chol_colmajor_upper);
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check_sparse_spd_determinant(llt_colmajor_lower);
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check_sparse_spd_determinant(llt_colmajor_upper);
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check_sparse_spd_determinant(ldlt_colmajor_lower);
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check_sparse_spd_determinant(ldlt_colmajor_upper);
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}
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void test_simplicial_cholesky()
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{
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for(int i = 0; i < g_repeat; i++) {
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CALL_SUBTEST_1(test_simplicial_cholesky_T<double>());
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CALL_SUBTEST_2(test_simplicial_cholesky_T<std::complex<double> >());
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}
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}
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@@ -1,193 +0,0 @@
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// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2011 Gael Guennebaud <g.gael@free.fr>
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//
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// Eigen is free software; you can redistribute it and/or
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// modify it under the terms of the GNU Lesser General Public
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||||
// License as published by the Free Software Foundation; either
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// version 3 of the License, or (at your option) any later version.
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//
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// Alternatively, you can redistribute it and/or
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// modify it under the terms of the GNU General Public License as
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// published by the Free Software Foundation; either version 2 of
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// the License, or (at your option) any later version.
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//
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// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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||||
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
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||||
// GNU General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public
|
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// License and a copy of the GNU General Public License along with
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#include "sparse.h"
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#include <Eigen/SparseExtra>
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template<typename Solver, typename Rhs, typename DenseMat, typename DenseRhs>
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void check_sparse_solving(Solver& solver, const typename Solver::MatrixType& A, const Rhs& b, const DenseMat& dA, const DenseRhs& db)
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{
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typedef typename Solver::MatrixType Mat;
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typedef typename Mat::Scalar Scalar;
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DenseRhs refX = dA.lu().solve(db);
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Rhs x(b.rows(), b.cols());
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Rhs oldb = b;
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solver.compute(A);
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if (solver.info() != Success)
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{
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std::cerr << "sparse SPD: factorization failed (check_sparse_solving)\n";
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exit(0);
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return;
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}
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x = solver.solve(b);
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if (solver.info() != Success)
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{
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std::cerr << "sparse SPD: solving failed\n";
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return;
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}
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VERIFY(oldb.isApprox(b) && "sparse SPD: the rhs should not be modified!");
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VERIFY(x.isApprox(refX,test_precision<Scalar>()));
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}
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template<typename Solver, typename DenseMat>
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void check_sparse_determinant(Solver& solver, const typename Solver::MatrixType& A, const DenseMat& dA)
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{
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typedef typename Solver::MatrixType Mat;
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typedef typename Mat::Scalar Scalar;
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typedef typename Mat::RealScalar RealScalar;
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solver.compute(A);
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if (solver.info() != Success)
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{
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std::cerr << "sparse SPD: factorization failed (check_sparse_determinant)\n";
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return;
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}
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Scalar refDet = dA.determinant();
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VERIFY_IS_APPROX(refDet,solver.determinant());
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}
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template<typename Solver, typename DenseMat>
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int generate_sparse_spd_problem(Solver& , typename Solver::MatrixType& A, typename Solver::MatrixType& halfA, DenseMat& dA, int maxSize = 300)
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{
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typedef typename Solver::MatrixType Mat;
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typedef typename Mat::Scalar Scalar;
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typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
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int size = internal::random<int>(1,maxSize);
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double density = (std::max)(8./(size*size), 0.01);
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Mat M(size, size);
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DenseMatrix dM(size, size);
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initSparse<Scalar>(density, dM, M, ForceNonZeroDiag);
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A = M * M.adjoint();
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dA = dM * dM.adjoint();
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halfA.resize(size,size);
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halfA.template selfadjointView<Solver::UpLo>().rankUpdate(M);
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return size;
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}
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template<typename Solver> void check_sparse_spd_solving(Solver& solver)
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{
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typedef typename Solver::MatrixType Mat;
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typedef typename Mat::Scalar Scalar;
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typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
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typedef Matrix<Scalar,Dynamic,1> DenseVector;
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// generate the problem
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Mat A, halfA;
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DenseMatrix dA;
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int size = generate_sparse_spd_problem(solver, A, halfA, dA);
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// generate the right hand sides
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int rhsCols = internal::random<int>(1,16);
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double density = (std::max)(8./(size*rhsCols), 0.1);
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Mat B(size,rhsCols);
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DenseVector b = DenseVector::Random(size);
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DenseMatrix dB(size,rhsCols);
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initSparse<Scalar>(density, dB, B);
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check_sparse_solving(solver, A, b, dA, b);
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check_sparse_solving(solver, halfA, b, dA, b);
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check_sparse_solving(solver, A, dB, dA, dB);
|
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check_sparse_solving(solver, halfA, dB, dA, dB);
|
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check_sparse_solving(solver, A, B, dA, dB);
|
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check_sparse_solving(solver, halfA, B, dA, dB);
|
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}
|
||||
|
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template<typename Solver> void check_sparse_spd_determinant(Solver& solver)
|
||||
{
|
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typedef typename Solver::MatrixType Mat;
|
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typedef typename Mat::Scalar Scalar;
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typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
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|
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// generate the problem
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Mat A, halfA;
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DenseMatrix dA;
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generate_sparse_spd_problem(solver, A, halfA, dA, 30);
|
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|
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check_sparse_determinant(solver, A, dA);
|
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check_sparse_determinant(solver, halfA, dA );
|
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}
|
||||
|
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template<typename Solver, typename DenseMat>
|
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int generate_sparse_square_problem(Solver&, typename Solver::MatrixType& A, DenseMat& dA, int maxSize = 300)
|
||||
{
|
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typedef typename Solver::MatrixType Mat;
|
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typedef typename Mat::Scalar Scalar;
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typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
|
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|
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int size = internal::random<int>(1,maxSize);
|
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double density = (std::max)(8./(size*size), 0.01);
|
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|
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A.resize(size,size);
|
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dA.resize(size,size);
|
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|
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initSparse<Scalar>(density, dA, A, ForceNonZeroDiag);
|
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|
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return size;
|
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}
|
||||
|
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template<typename Solver> void check_sparse_square_solving(Solver& solver)
|
||||
{
|
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typedef typename Solver::MatrixType Mat;
|
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typedef typename Mat::Scalar Scalar;
|
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typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
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typedef Matrix<Scalar,Dynamic,1> DenseVector;
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|
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int rhsCols = internal::random<int>(1,16);
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|
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Mat A;
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DenseMatrix dA;
|
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int size = generate_sparse_square_problem(solver, A, dA);
|
||||
|
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DenseVector b = DenseVector::Random(size);
|
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DenseMatrix dB = DenseMatrix::Random(size,rhsCols);
|
||||
|
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check_sparse_solving(solver, A, b, dA, b);
|
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check_sparse_solving(solver, A, dB, dA, dB);
|
||||
}
|
||||
|
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template<typename Solver> void check_sparse_square_determinant(Solver& solver)
|
||||
{
|
||||
typedef typename Solver::MatrixType Mat;
|
||||
typedef typename Mat::Scalar Scalar;
|
||||
typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
|
||||
|
||||
// generate the problem
|
||||
Mat A;
|
||||
DenseMatrix dA;
|
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generate_sparse_square_problem(solver, A, dA, 30);
|
||||
|
||||
check_sparse_determinant(solver, A, dA);
|
||||
}
|
||||
@@ -1,41 +0,0 @@
|
||||
// This file is part of Eigen, a lightweight C++ template library
|
||||
// for linear algebra.
|
||||
//
|
||||
// Copyright (C) 2011 Gael Guennebaud <g.gael@free.fr>
|
||||
//
|
||||
// Eigen is free software; you can redistribute it and/or
|
||||
// modify it under the terms of the GNU Lesser General Public
|
||||
// License as published by the Free Software Foundation; either
|
||||
// version 3 of the License, or (at your option) any later version.
|
||||
//
|
||||
// Alternatively, you can redistribute it and/or
|
||||
// modify it under the terms of the GNU General Public License as
|
||||
// published by the Free Software Foundation; either version 2 of
|
||||
// the License, or (at your option) any later version.
|
||||
//
|
||||
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
|
||||
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
|
||||
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
|
||||
// GNU General Public License for more details.
|
||||
//
|
||||
// You should have received a copy of the GNU Lesser General Public
|
||||
// License and a copy of the GNU General Public License along with
|
||||
// Eigen. If not, see <http://www.gnu.org/licenses/>.
|
||||
|
||||
#include "sparse_solver.h"
|
||||
|
||||
#ifdef EIGEN_SUPERLU_SUPPORT
|
||||
#include <Eigen/SuperLUSupport>
|
||||
#endif
|
||||
|
||||
void test_superlu_support()
|
||||
{
|
||||
for(int i = 0; i < g_repeat; i++) {
|
||||
SuperLU<SparseMatrix<double> > superlu_double_colmajor;
|
||||
SuperLU<SparseMatrix<std::complex<double> > > superlu_cplxdouble_colmajor;
|
||||
CALL_SUBTEST_1( check_sparse_square_solving(superlu_double_colmajor) );
|
||||
CALL_SUBTEST_2( check_sparse_square_solving(superlu_cplxdouble_colmajor) );
|
||||
CALL_SUBTEST_1( check_sparse_square_determinant(superlu_double_colmajor) );
|
||||
CALL_SUBTEST_2( check_sparse_square_determinant(superlu_cplxdouble_colmajor) );
|
||||
}
|
||||
}
|
||||
@@ -1,41 +0,0 @@
|
||||
// This file is part of Eigen, a lightweight C++ template library
|
||||
// for linear algebra.
|
||||
//
|
||||
// Copyright (C) 2011 Gael Guennebaud <g.gael@free.fr>
|
||||
//
|
||||
// Eigen is free software; you can redistribute it and/or
|
||||
// modify it under the terms of the GNU Lesser General Public
|
||||
// License as published by the Free Software Foundation; either
|
||||
// version 3 of the License, or (at your option) any later version.
|
||||
//
|
||||
// Alternatively, you can redistribute it and/or
|
||||
// modify it under the terms of the GNU General Public License as
|
||||
// published by the Free Software Foundation; either version 2 of
|
||||
// the License, or (at your option) any later version.
|
||||
//
|
||||
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
|
||||
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
|
||||
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
|
||||
// GNU General Public License for more details.
|
||||
//
|
||||
// You should have received a copy of the GNU Lesser General Public
|
||||
// License and a copy of the GNU General Public License along with
|
||||
// Eigen. If not, see <http://www.gnu.org/licenses/>.
|
||||
|
||||
#include "sparse_solver.h"
|
||||
|
||||
#ifdef EIGEN_UMFPACK_SUPPORT
|
||||
#include <Eigen/UmfPackSupport>
|
||||
#endif
|
||||
|
||||
void test_umfpack_support()
|
||||
{
|
||||
for(int i = 0; i < g_repeat; i++) {
|
||||
UmfPackLU<SparseMatrix<double> > umfpack_double_colmajor;
|
||||
UmfPackLU<SparseMatrix<std::complex<double> > > umfpack_cplxdouble_colmajor;
|
||||
CALL_SUBTEST_1(check_sparse_square_solving(umfpack_double_colmajor));
|
||||
CALL_SUBTEST_2(check_sparse_square_solving(umfpack_cplxdouble_colmajor));
|
||||
CALL_SUBTEST_1(check_sparse_square_determinant(umfpack_double_colmajor));
|
||||
CALL_SUBTEST_2(check_sparse_square_determinant(umfpack_cplxdouble_colmajor));
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user