59 lines
2.3 KiB
C++
59 lines
2.3 KiB
C++
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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) 2012 Désiré Nuentsa-Wakam <desire.nuentsa_wakam@inria.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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// SparseLU solve does not accept column major matrices for the destination.
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// However, as expected, the generic check_sparse_square_solving routines produces row-major
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// rhs and destination matrices when compiled with EIGEN_DEFAULT_TO_ROW_MAJOR
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#ifdef EIGEN_DEFAULT_TO_ROW_MAJOR
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#undef EIGEN_DEFAULT_TO_ROW_MAJOR
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#endif
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#include "sparse_solver.h"
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#include <Eigen/SparseLU>
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#include <unsupported/Eigen/SparseExtra>
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template<typename T> void test_sparselu_T()
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{
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SparseLU<SparseMatrix<T, ColMajor> /*, COLAMDOrdering<int>*/ > sparselu_colamd; // COLAMDOrdering is the default
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SparseLU<SparseMatrix<T, ColMajor>, AMDOrdering<int> > sparselu_amd;
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SparseLU<SparseMatrix<T, ColMajor, long int>, NaturalOrdering<long int> > sparselu_natural;
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check_sparse_square_solving(sparselu_colamd);
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check_sparse_square_solving(sparselu_amd);
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check_sparse_square_solving(sparselu_natural);
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check_sparse_square_abs_determinant(sparselu_colamd);
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check_sparse_square_abs_determinant(sparselu_amd);
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}
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void test_sparselu()
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{
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CALL_SUBTEST_1(test_sparselu_T<float>());
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CALL_SUBTEST_2(test_sparselu_T<double>());
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CALL_SUBTEST_3(test_sparselu_T<std::complex<float> >());
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CALL_SUBTEST_4(test_sparselu_T<std::complex<double> >());
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}
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