Cross Reference: /external/eigen/Eigen/src/PardisoSupport/PardisoSupport.h

Lines Matching refs:matrix
135       *          \c NumericalIssue if the matrix appears to be negative.
151     /** Performs a symbolic decomposition on the sparcity of \a matrix.
157     Derived& analyzePattern(const MatrixType& matrix);
159     /** Performs a numeric decomposition of \a matrix
161       * The given matrix must has the same sparcity than the matrix on which the symbolic decomposition has been performed.
165     Derived& factorize(const MatrixType& matrix);
167     Derived& compute(const MatrixType& matrix);
179                 && "PardisoImpl::solve(): invalid number of rows of the right hand side matrix b");
193                 && "PardisoImpl::solve(): invalid number of rows of the right hand side matrix b");
246       m_iparm[26] = 0;  // No matrix checker
397   * using the Intel MKL PARDISO library. The sparse matrix A must be squared and invertible.
400   * \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
426     PardisoLU(const MatrixType& matrix)
430       compute(matrix);
433     void getMatrix(const MatrixType& matrix)
435       m_matrix = matrix;
447   * using the Intel MKL PARDISO library. The sparse matrix A must be selfajoint and positive definite.
450   * \tparam MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
480     PardisoLLT(const MatrixType& matrix)
484       compute(matrix);
489     void getMatrix(const MatrixType& matrix)
493       m_matrix.resize(matrix.rows(), matrix.cols());
494       m_matrix.template selfadjointView<Upper>() = matrix.template selfadjointView<UpLo>().twistedBy(p_null);
506   * using the Intel MKL PARDISO library. The sparse matrix A is assumed to be selfajoint and positive definite.
510   * \tparam MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
512   *         Symmetric can be used for symmetric, non-selfadjoint complex matrices, the default being to assume a selfadjoint matrix.
541     PardisoLDLT(const MatrixType& matrix)
545       compute(matrix);
548     void getMatrix(const MatrixType& matrix)
552       m_matrix.resize(matrix.rows(), matrix.cols());
553       m_matrix.template selfadjointView<Upper>() = matrix.template selfadjointView<UpLo>().twistedBy(p_null);