1// This file is part of Eigen, a lightweight C++ template library 2// for linear algebra. 3// 4// Copyright (C) 2012 Désiré Nuentsa-Wakam <desire.nuentsa_wakam@inria.fr> 5// 6// Eigen is free software; you can redistribute it and/or 7// modify it under the terms of the GNU Lesser General Public 8// License as published by the Free Software Foundation; either 9// version 3 of the License, or (at your option) any later version. 10// 11// Alternatively, you can redistribute it and/or 12// modify it under the terms of the GNU General Public License as 13// published by the Free Software Foundation; either version 2 of 14// the License, or (at your option) any later version. 15// 16// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY 17// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS 18// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the 19// GNU General Public License for more details. 20// 21// You should have received a copy of the GNU Lesser General Public 22// License and a copy of the GNU General Public License along with 23// Eigen. If not, see <http://www.gnu.org/licenses/>. 24 25 26// SparseLU solve does not accept column major matrices for the destination. 27// However, as expected, the generic check_sparse_square_solving routines produces row-major 28// rhs and destination matrices when compiled with EIGEN_DEFAULT_TO_ROW_MAJOR 29 30#ifdef EIGEN_DEFAULT_TO_ROW_MAJOR 31#undef EIGEN_DEFAULT_TO_ROW_MAJOR 32#endif 33 34#include "sparse_solver.h" 35#include <Eigen/SparseLU> 36#include <unsupported/Eigen/SparseExtra> 37 38template<typename T> void test_sparselu_T() 39{ 40 SparseLU<SparseMatrix<T, ColMajor> /*, COLAMDOrdering<int>*/ > sparselu_colamd; // COLAMDOrdering is the default 41 SparseLU<SparseMatrix<T, ColMajor>, AMDOrdering<int> > sparselu_amd; 42 SparseLU<SparseMatrix<T, ColMajor, long int>, NaturalOrdering<long int> > sparselu_natural; 43 44 check_sparse_square_solving(sparselu_colamd); 45 check_sparse_square_solving(sparselu_amd); 46 check_sparse_square_solving(sparselu_natural); 47 48 check_sparse_square_abs_determinant(sparselu_colamd); 49 check_sparse_square_abs_determinant(sparselu_amd); 50} 51 52void test_sparselu() 53{ 54 CALL_SUBTEST_1(test_sparselu_T<float>()); 55 CALL_SUBTEST_2(test_sparselu_T<double>()); 56 CALL_SUBTEST_3(test_sparselu_T<std::complex<float> >()); 57 CALL_SUBTEST_4(test_sparselu_T<std::complex<double> >()); 58} 59