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a76fbbf397
- remove most of the metaprogramming kung fu in MathFunctions.h (only keep functions that differs from the std) - remove the overloads for array expression that were in the std namespace
45 lines
1.6 KiB
C++
45 lines
1.6 KiB
C++
// 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) 2008-2012 Gael Guennebaud <gael.guennebaud@inria.fr>
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// Copyright (C) 2012 Désiré Nuentsa-Wakam <desire.nuentsa_wakam@inria.fr>
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//
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// This Source Code Form is subject to the terms of the Mozilla
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// Public License v. 2.0. If a copy of the MPL was not distributed
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// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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#include "sparse_solver.h"
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#include <Eigen/PaStiXSupport>
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#include <unsupported/Eigen/SparseExtra>
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template<typename T> void test_pastix_T()
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{
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PastixLLT< SparseMatrix<T, ColMajor>, Eigen::Lower > pastix_llt_lower;
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PastixLDLT< SparseMatrix<T, ColMajor>, Eigen::Lower > pastix_ldlt_lower;
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PastixLLT< SparseMatrix<T, ColMajor>, Eigen::Upper > pastix_llt_upper;
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PastixLDLT< SparseMatrix<T, ColMajor>, Eigen::Upper > pastix_ldlt_upper;
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PastixLU< SparseMatrix<T, ColMajor> > pastix_lu;
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check_sparse_spd_solving(pastix_llt_lower);
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check_sparse_spd_solving(pastix_ldlt_lower);
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check_sparse_spd_solving(pastix_llt_upper);
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check_sparse_spd_solving(pastix_ldlt_upper);
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check_sparse_square_solving(pastix_lu);
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}
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// There is no support for selfadjoint matrices with PaStiX.
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// Complex symmetric matrices should pass though
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template<typename T> void test_pastix_T_LU()
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{
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PastixLU< SparseMatrix<T, ColMajor> > pastix_lu;
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check_sparse_square_solving(pastix_lu);
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}
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void test_pastix_support()
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{
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CALL_SUBTEST_1(test_pastix_T<float>());
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CALL_SUBTEST_2(test_pastix_T<double>());
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CALL_SUBTEST_3( (test_pastix_T_LU<std::complex<float> >()) );
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CALL_SUBTEST_4(test_pastix_T_LU<std::complex<double> >());
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}
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