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modify the unit tests of sparse linear solvers to enable tests on real matrices, from MatrixMarket for instance

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Desire NUENTSA
2012-03-29 14:32:54 +02:00
parent ada9e79145
commit f804a319c8
14 changed files with 177 additions and 71 deletions
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8
Eigen/src/UmfPackSupport/UmfPackSupport.h
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@@ -124,9 +124,11 @@ inline int umfpack_get_determinant(std::complex<double> *Mx, double *Ex, void *N
* \brief A sparse LU factorization and solver based on UmfPack
*
* This class allows to solve for A.X = B sparse linear problems via a LU factorization
* using the UmfPack library. The sparse matrix A must be column-major, squared and full rank.
* using the UmfPack library. The sparse matrix A must be in a compressed column-major form, squared and full rank.
* The vectors or matrices X and B can be either dense or sparse.
*
* WARNING The Eigen column-major SparseMatrix is not always in compressed form.
* The user should call makeCompressed() to get a matrix in CSC suitable for UMFPACK
* \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
*
* \sa \ref TutorialSparseDirectSolvers
@@ -198,7 +200,9 @@ class UmfPackLU
return m_q;
}
/** Computes the sparse Cholesky decomposition of \a matrix */
/** Computes the sparse Cholesky decomposition of \a matrix
* Note that the matrix should be in compressed format. Please, use makeCompressed() to get it !!
*/
void compute(const MatrixType& matrix)
{
analyzePattern(matrix);