move sparse solvers from unsupported/ to main Eigen/ and remove the "not stable yet" warning

This commit is contained in:
Gael Guennebaud
2011-11-12 14:11:27 +01:00
parent dcb66d6b40
commit 53fa851724
62 changed files with 206 additions and 1336 deletions

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@@ -12,6 +12,46 @@ foreach(i RANGE 1 999)
)
endforeach()
# configure blas/lapack (use Eigen's ones)
set(BLAS_FOUND TRUE)
set(LAPACK_FOUND TRUE)
set(BLAS_LIBRARIES eigen_blas)
set(LAPACK_LIBRARIES eigen_lapack)
set(SPARSE_LIBS " ")
find_package(Cholmod)
if(CHOLMOD_FOUND AND BLAS_FOUND AND LAPACK_FOUND)
add_definitions("-DEIGEN_CHOLMOD_SUPPORT")
include_directories(${CHOLMOD_INCLUDES})
set(SPARSE_LIBS ${SPARSE_LIBS} ${CHOLMOD_LIBRARIES} ${BLAS_LIBRARIES} ${LAPACK_LIBRARIES})
ei_add_property(EIGEN_TESTED_BACKENDS "Cholmod, ")
else()
ei_add_property(EIGEN_MISSING_BACKENDS "Cholmod, ")
endif()
find_package(Umfpack)
if(UMFPACK_FOUND AND BLAS_FOUND)
add_definitions("-DEIGEN_UMFPACK_SUPPORT")
include_directories(${UMFPACK_INCLUDES})
set(SPARSE_LIBS ${SPARSE_LIBS} ${UMFPACK_LIBRARIES} ${BLAS_LIBRARIES})
set(UMFPACK_ALL_LIBS ${UMFPACK_LIBRARIES} ${BLAS_LIBRARIES})
ei_add_property(EIGEN_TESTED_BACKENDS "UmfPack, ")
else()
ei_add_property(EIGEN_MISSING_BACKENDS "UmfPack, ")
endif()
find_package(SuperLU)
if(SUPERLU_FOUND AND BLAS_FOUND)
add_definitions("-DEIGEN_SUPERLU_SUPPORT")
include_directories(${SUPERLU_INCLUDES})
set(SPARSE_LIBS ${SPARSE_LIBS} ${SUPERLU_LIBRARIES} ${BLAS_LIBRARIES})
set(SUPERLU_ALL_LIBS ${SUPERLU_LIBRARIES} ${BLAS_LIBRARIES})
ei_add_property(EIGEN_TESTED_BACKENDS "SuperLU, ")
else()
ei_add_property(EIGEN_MISSING_BACKENDS "SuperLU, ")
endif()
find_package(GSL)
if(GSL_FOUND AND GSL_VERSION_MINOR LESS 9)
set(GSL_FOUND "")
@@ -123,7 +163,7 @@ endif(QT4_FOUND)
ei_add_test(sparse_vector)
ei_add_test(sparse_basic)
ei_add_test(sparse_product)
ei_add_test(sparse_solvers "" "${SPARSE_LIBS}")
ei_add_test(sparse_solvers)
ei_add_test(umeyama)
ei_add_test(householder)
ei_add_test(swap)
@@ -140,6 +180,20 @@ ei_add_test(sizeoverflow)
ei_add_test(prec_inverse_4x4)
ei_add_test(simplicial_cholesky)
ei_add_test(conjugate_gradient)
ei_add_test(bicgstab)
if(UMFPACK_FOUND)
ei_add_test(umfpack_support "" "${UMFPACK_ALL_LIBS}")
endif()
if(SUPERLU_FOUND)
ei_add_test(superlu_support "" "${SUPERLU_ALL_LIBS}")
endif()
string(TOLOWER "${CMAKE_CXX_COMPILER}" cmake_cxx_compiler_tolower)
if(cmake_cxx_compiler_tolower MATCHES "qcc")
set(CXX_IS_QCC "ON")

47
test/bicgstab.cpp Normal file
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@@ -0,0 +1,47 @@
// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2011 Gael Guennebaud <g.gael@free.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/>.
#include "sparse_solver.h"
#include <Eigen/IterativeLinearSolvers>
template<typename T> void test_bicgstab_T()
{
BiCGSTAB<SparseMatrix<T>, DiagonalPreconditioner<T> > bicgstab_colmajor_diag;
BiCGSTAB<SparseMatrix<T>, IdentityPreconditioner > bicgstab_colmajor_I;
//BiCGSTAB<SparseMatrix<T>, IncompleteLU<T> > bicgstab_colmajor_ilu;
//BiCGSTAB<SparseMatrix<T>, SSORPreconditioner<T> > bicgstab_colmajor_ssor;
CALL_SUBTEST( check_sparse_square_solving(bicgstab_colmajor_diag) );
CALL_SUBTEST( check_sparse_square_solving(bicgstab_colmajor_I) );
//CALL_SUBTEST( check_sparse_square_solving(bicgstab_colmajor_ilu) );
//CALL_SUBTEST( check_sparse_square_solving(bicgstab_colmajor_ssor) );
}
void test_bicgstab()
{
for(int i = 0; i < g_repeat; i++) {
CALL_SUBTEST_1(test_bicgstab_T<double>());
//CALL_SUBTEST_2(test_bicgstab_T<std::complex<double> >());
}
}

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@@ -0,0 +1,47 @@
// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2011 Gael Guennebaud <g.gael@free.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/>.
#include "sparse_solver.h"
#include <Eigen/IterativeLinearSolvers>
template<typename T> void test_conjugate_gradient_T()
{
ConjugateGradient<SparseMatrix<T>, Lower> cg_colmajor_lower_diag;
ConjugateGradient<SparseMatrix<T>, Upper> cg_colmajor_upper_diag;
ConjugateGradient<SparseMatrix<T>, Lower, IdentityPreconditioner> cg_colmajor_lower_I;
ConjugateGradient<SparseMatrix<T>, 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_lower_I) );
CALL_SUBTEST( check_sparse_spd_solving(cg_colmajor_upper_I) );
}
void test_conjugate_gradient()
{
for(int i = 0; i < g_repeat; i++) {
CALL_SUBTEST_1(test_conjugate_gradient_T<double>());
CALL_SUBTEST_2(test_conjugate_gradient_T<std::complex<double> >());
}
}

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@@ -0,0 +1,57 @@
// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2011 Gael Guennebaud <g.gael@free.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/>.
#include "sparse_solver.h"
template<typename T> void test_simplicial_cholesky_T()
{
SimplicialCholesky<SparseMatrix<T>, Lower> chol_colmajor_lower;
SimplicialCholesky<SparseMatrix<T>, Upper> chol_colmajor_upper;
SimplicialLLt<SparseMatrix<T>, Lower> llt_colmajor_lower;
SimplicialLDLt<SparseMatrix<T>, Upper> llt_colmajor_upper;
SimplicialLDLt<SparseMatrix<T>, Lower> ldlt_colmajor_lower;
SimplicialLDLt<SparseMatrix<T>, Upper> ldlt_colmajor_upper;
check_sparse_spd_solving(chol_colmajor_lower);
check_sparse_spd_solving(chol_colmajor_upper);
check_sparse_spd_solving(llt_colmajor_lower);
check_sparse_spd_solving(llt_colmajor_upper);
check_sparse_spd_solving(ldlt_colmajor_lower);
check_sparse_spd_solving(ldlt_colmajor_upper);
check_sparse_spd_determinant(chol_colmajor_lower);
check_sparse_spd_determinant(chol_colmajor_upper);
check_sparse_spd_determinant(llt_colmajor_lower);
check_sparse_spd_determinant(llt_colmajor_upper);
check_sparse_spd_determinant(ldlt_colmajor_lower);
check_sparse_spd_determinant(ldlt_colmajor_upper);
}
void test_simplicial_cholesky()
{
for(int i = 0; i < g_repeat; i++) {
CALL_SUBTEST_1(test_simplicial_cholesky_T<double>());
CALL_SUBTEST_2(test_simplicial_cholesky_T<std::complex<double> >());
}
}

193
test/sparse_solver.h Normal file
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@@ -0,0 +1,193 @@
// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2011 Gael Guennebaud <g.gael@free.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/>.
#include "sparse.h"
#include <Eigen/SparseCore>
template<typename Solver, typename Rhs, typename DenseMat, typename DenseRhs>
void check_sparse_solving(Solver& solver, const typename Solver::MatrixType& A, const Rhs& b, const DenseMat& dA, const DenseRhs& db)
{
typedef typename Solver::MatrixType Mat;
typedef typename Mat::Scalar Scalar;
DenseRhs refX = dA.lu().solve(db);
Rhs x(b.rows(), b.cols());
Rhs oldb = b;
solver.compute(A);
if (solver.info() != Success)
{
std::cerr << "sparse solver testing: factorization failed (check_sparse_solving)\n";
exit(0);
return;
}
x = solver.solve(b);
if (solver.info() != Success)
{
std::cerr << "sparse SPD: solving failed\n";
return;
}
VERIFY(oldb.isApprox(b) && "sparse SPD: the rhs should not be modified!");
VERIFY(x.isApprox(refX,test_precision<Scalar>()));
}
template<typename Solver, typename DenseMat>
void check_sparse_determinant(Solver& solver, const typename Solver::MatrixType& A, const DenseMat& dA)
{
typedef typename Solver::MatrixType Mat;
typedef typename Mat::Scalar Scalar;
typedef typename Mat::RealScalar RealScalar;
solver.compute(A);
if (solver.info() != Success)
{
std::cerr << "sparse solver testing: factorization failed (check_sparse_determinant)\n";
return;
}
Scalar refDet = dA.determinant();
VERIFY_IS_APPROX(refDet,solver.determinant());
}
template<typename Solver, typename DenseMat>
int generate_sparse_spd_problem(Solver& , typename Solver::MatrixType& A, typename Solver::MatrixType& halfA, DenseMat& dA, int maxSize = 300)
{
typedef typename Solver::MatrixType Mat;
typedef typename Mat::Scalar Scalar;
typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
int size = internal::random<int>(1,maxSize);
double density = (std::max)(8./(size*size), 0.01);
Mat M(size, size);
DenseMatrix dM(size, size);
initSparse<Scalar>(density, dM, M, ForceNonZeroDiag);
A = M * M.adjoint();
dA = dM * dM.adjoint();
halfA.resize(size,size);
halfA.template selfadjointView<Solver::UpLo>().rankUpdate(M);
return size;
}
template<typename Solver> void check_sparse_spd_solving(Solver& solver)
{
typedef typename Solver::MatrixType Mat;
typedef typename Mat::Scalar Scalar;
typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
typedef Matrix<Scalar,Dynamic,1> DenseVector;
// generate the problem
Mat A, halfA;
DenseMatrix dA;
int size = generate_sparse_spd_problem(solver, A, halfA, dA);
// generate the right hand sides
int rhsCols = internal::random<int>(1,16);
double density = (std::max)(8./(size*rhsCols), 0.1);
Mat B(size,rhsCols);
DenseVector b = DenseVector::Random(size);
DenseMatrix dB(size,rhsCols);
initSparse<Scalar>(density, dB, B);
check_sparse_solving(solver, A, b, dA, b);
check_sparse_solving(solver, halfA, b, dA, b);
check_sparse_solving(solver, A, dB, dA, dB);
check_sparse_solving(solver, halfA, dB, dA, dB);
check_sparse_solving(solver, A, B, dA, dB);
check_sparse_solving(solver, halfA, B, dA, dB);
}
template<typename Solver> void check_sparse_spd_determinant(Solver& solver)
{
typedef typename Solver::MatrixType Mat;
typedef typename Mat::Scalar Scalar;
typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
// generate the problem
Mat A, halfA;
DenseMatrix dA;
generate_sparse_spd_problem(solver, A, halfA, dA, 30);
check_sparse_determinant(solver, A, dA);
check_sparse_determinant(solver, halfA, dA );
}
template<typename Solver, typename DenseMat>
int generate_sparse_square_problem(Solver&, typename Solver::MatrixType& A, DenseMat& dA, int maxSize = 300)
{
typedef typename Solver::MatrixType Mat;
typedef typename Mat::Scalar Scalar;
typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
int size = internal::random<int>(1,maxSize);
double density = (std::max)(8./(size*size), 0.01);
A.resize(size,size);
dA.resize(size,size);
initSparse<Scalar>(density, dA, A, ForceNonZeroDiag);
return size;
}
template<typename Solver> void check_sparse_square_solving(Solver& solver)
{
typedef typename Solver::MatrixType Mat;
typedef typename Mat::Scalar Scalar;
typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
typedef Matrix<Scalar,Dynamic,1> DenseVector;
int rhsCols = internal::random<int>(1,16);
Mat A;
DenseMatrix dA;
int size = generate_sparse_square_problem(solver, A, dA);
DenseVector b = DenseVector::Random(size);
DenseMatrix dB = DenseMatrix::Random(size,rhsCols);
check_sparse_solving(solver, A, b, dA, b);
check_sparse_solving(solver, A, dB, dA, dB);
}
template<typename Solver> void check_sparse_square_determinant(Solver& solver)
{
typedef typename Solver::MatrixType Mat;
typedef typename Mat::Scalar Scalar;
typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
// generate the problem
Mat A;
DenseMatrix dA;
generate_sparse_square_problem(solver, A, dA, 30);
check_sparse_determinant(solver, A, dA);
}

41
test/superlu_support.cpp Normal file
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@@ -0,0 +1,41 @@
// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2011 Gael Guennebaud <g.gael@free.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/>.
#include "sparse_solver.h"
#ifdef EIGEN_SUPERLU_SUPPORT
#include <Eigen/SuperLUSupport>
#endif
void test_superlu_support()
{
for(int i = 0; i < g_repeat; i++) {
SuperLU<SparseMatrix<double> > superlu_double_colmajor;
SuperLU<SparseMatrix<std::complex<double> > > superlu_cplxdouble_colmajor;
CALL_SUBTEST_1( check_sparse_square_solving(superlu_double_colmajor) );
CALL_SUBTEST_2( check_sparse_square_solving(superlu_cplxdouble_colmajor) );
CALL_SUBTEST_1( check_sparse_square_determinant(superlu_double_colmajor) );
CALL_SUBTEST_2( check_sparse_square_determinant(superlu_cplxdouble_colmajor) );
}
}

41
test/umfpack_support.cpp Normal file
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@@ -0,0 +1,41 @@
// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2011 Gael Guennebaud <g.gael@free.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/>.
#include "sparse_solver.h"
#ifdef EIGEN_UMFPACK_SUPPORT
#include <Eigen/UmfPackSupport>
#endif
void test_umfpack_support()
{
for(int i = 0; i < g_repeat; i++) {
UmfPackLU<SparseMatrix<double> > umfpack_double_colmajor;
UmfPackLU<SparseMatrix<std::complex<double> > > umfpack_cplxdouble_colmajor;
CALL_SUBTEST_1(check_sparse_square_solving(umfpack_double_colmajor));
CALL_SUBTEST_2(check_sparse_square_solving(umfpack_cplxdouble_colmajor));
CALL_SUBTEST_1(check_sparse_square_determinant(umfpack_double_colmajor));
CALL_SUBTEST_2(check_sparse_square_determinant(umfpack_cplxdouble_colmajor));
}
}