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conjugate_gradient.cpp
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Thu, Feb 20, 22:30
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Sat, Feb 22, 22:30 (1 d, 23 h)
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rDLMA Diffusion limited mixed aggregation
conjugate_gradient.cpp
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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2011 Gael Guennebaud <g.gael@free.fr>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#include "sparse_solver.h"
#include <Eigen/IterativeLinearSolvers>
template<typename T, typename I_> void test_conjugate_gradient_T()
{
typedef SparseMatrix<T,0,I_> SparseMatrixType;
ConjugateGradient<SparseMatrixType, Lower > cg_colmajor_lower_diag;
ConjugateGradient<SparseMatrixType, Upper > cg_colmajor_upper_diag;
ConjugateGradient<SparseMatrixType, Lower|Upper> cg_colmajor_loup_diag;
ConjugateGradient<SparseMatrixType, Lower, IdentityPreconditioner> cg_colmajor_lower_I;
ConjugateGradient<SparseMatrixType, Upper, IdentityPreconditioner> cg_colmajor_upper_I;
CALL_SUBTEST( check_sparse_spd_solving(cg_colmajor_lower_diag) );
CALL_SUBTEST( check_sparse_spd_solving(cg_colmajor_upper_diag) );
CALL_SUBTEST( check_sparse_spd_solving(cg_colmajor_loup_diag) );
CALL_SUBTEST( check_sparse_spd_solving(cg_colmajor_lower_I) );
CALL_SUBTEST( check_sparse_spd_solving(cg_colmajor_upper_I) );
}
EIGEN_DECLARE_TEST(conjugate_gradient)
{
CALL_SUBTEST_1(( test_conjugate_gradient_T<double,int>() ));
CALL_SUBTEST_2(( test_conjugate_gradient_T<std::complex<double>, int>() ));
CALL_SUBTEST_3(( test_conjugate_gradient_T<double,long int>() ));
}
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