1c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This file is part of Eigen, a lightweight C++ template library
2c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// for linear algebra.
3c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//
4c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Copyright (C) 2011 Gael Guennebaud <g.gael@free.fr>
5c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//
6c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This Source Code Form is subject to the terms of the Mozilla
7c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Public License v. 2.0. If a copy of the MPL was not distributed
8c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
9c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
10c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include "sparse_solver.h"
11c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include <Eigen/IterativeLinearSolvers>
12c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
13c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename T> void test_conjugate_gradient_T()
14c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
15c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  ConjugateGradient<SparseMatrix<T>, Lower> cg_colmajor_lower_diag;
16c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  ConjugateGradient<SparseMatrix<T>, Upper> cg_colmajor_upper_diag;
17c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  ConjugateGradient<SparseMatrix<T>, Lower, IdentityPreconditioner> cg_colmajor_lower_I;
18c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  ConjugateGradient<SparseMatrix<T>, Upper, IdentityPreconditioner> cg_colmajor_upper_I;
19c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
20c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CALL_SUBTEST( check_sparse_spd_solving(cg_colmajor_lower_diag)  );
21c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CALL_SUBTEST( check_sparse_spd_solving(cg_colmajor_upper_diag)  );
22c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CALL_SUBTEST( check_sparse_spd_solving(cg_colmajor_lower_I)     );
23c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CALL_SUBTEST( check_sparse_spd_solving(cg_colmajor_upper_I)     );
24c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
25c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
26c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathvoid test_conjugate_gradient()
27c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
28c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CALL_SUBTEST_1(test_conjugate_gradient_T<double>());
29c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CALL_SUBTEST_2(test_conjugate_gradient_T<std::complex<double> >());
30c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
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