mirror of
https://gitlab.com/libeigen/eigen.git
synced 2024-12-21 07:19:46 +08:00
62 lines
2.4 KiB
C++
62 lines
2.4 KiB
C++
// This file is part of Eigen, a lightweight C++ template library
|
|
// for linear algebra.
|
|
//
|
|
// Copyright (C) 2012 Désiré Nuentsa-Wakam <desire.nuentsa_wakam@inria.fr>
|
|
//
|
|
// Eigen is free software; you can redistribute it and/or
|
|
// modify it under the terms of the GNU Lesser General Public
|
|
// License as published by the Free Software Foundation; either
|
|
// version 3 of the License, or (at your option) any later version.
|
|
//
|
|
// Alternatively, you can redistribute it and/or
|
|
// modify it under the terms of the GNU General Public License as
|
|
// published by the Free Software Foundation; either version 2 of
|
|
// the License, or (at your option) any later version.
|
|
//
|
|
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
|
|
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
|
|
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
|
|
// GNU General Public License for more details.
|
|
//
|
|
// You should have received a copy of the GNU Lesser General Public
|
|
// License and a copy of the GNU General Public License along with
|
|
// Eigen. If not, see <http://www.gnu.org/licenses/>.
|
|
|
|
|
|
// SparseLU solve does not accept column major matrices for the destination.
|
|
// However, as expected, the generic check_sparse_square_solving routines produces row-major
|
|
// rhs and destination matrices when compiled with EIGEN_DEFAULT_TO_ROW_MAJOR
|
|
|
|
#ifdef EIGEN_DEFAULT_TO_ROW_MAJOR
|
|
#undef EIGEN_DEFAULT_TO_ROW_MAJOR
|
|
#endif
|
|
|
|
#include "sparse_solver.h"
|
|
#include <Eigen/SparseLU>
|
|
#include <unsupported/Eigen/SparseExtra>
|
|
|
|
template<typename T> void test_sparselu_T()
|
|
{
|
|
SparseLU<SparseMatrix<T, ColMajor> /*, COLAMDOrdering<int>*/ > sparselu_colamd; // COLAMDOrdering is the default
|
|
SparseLU<SparseMatrix<T, ColMajor>, AMDOrdering<int> > sparselu_amd;
|
|
SparseLU<SparseMatrix<T, ColMajor, long int>, NaturalOrdering<long int> > sparselu_natural;
|
|
|
|
check_sparse_square_solving(sparselu_colamd);
|
|
check_sparse_square_solving(sparselu_amd);
|
|
check_sparse_square_solving(sparselu_natural);
|
|
|
|
check_sparse_square_abs_determinant(sparselu_colamd);
|
|
check_sparse_square_abs_determinant(sparselu_amd);
|
|
|
|
check_sparse_square_determinant(sparselu_colamd);
|
|
check_sparse_square_determinant(sparselu_amd);
|
|
}
|
|
|
|
void test_sparselu()
|
|
{
|
|
CALL_SUBTEST_1(test_sparselu_T<float>());
|
|
CALL_SUBTEST_2(test_sparselu_T<double>());
|
|
CALL_SUBTEST_3(test_sparselu_T<std::complex<float> >());
|
|
CALL_SUBTEST_4(test_sparselu_T<std::complex<double> >());
|
|
}
|