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

Lines Matching refs:matrix
199     eigen_assert(((MatrixType::Flags & SelfAdjoint)==0) && "SelfAdjoint matrix shape not supported by SuperLU");
258     eigen_assert(((MatrixType::Flags & SelfAdjoint)==0) && "SelfAdjoint matrix shape not supported by SuperLU");
270 /** View a Super LU matrix as an Eigen expression */
324       *          \c NumericalIssue if the matrix.appears to be negative.
332     /** Computes the sparse Cholesky decomposition of \a matrix */
333     void compute(const MatrixType& matrix)
335       derived().analyzePattern(matrix);
336       derived().factorize(matrix);
348                 && "SuperLU::solve(): invalid number of rows of the right hand side matrix b");
361                 && "SuperLU::solve(): invalid number of rows of the right hand side matrix b");
365     /** Performs a symbolic decomposition on the sparcity of \a matrix.
371     void analyzePattern(const MatrixType& /*matrix*/)
444     mutable LUMatrixType m_matrix;  // copy of the factorized matrix
471   * using the SuperLU library. The sparse matrix A must be squared and invertible. The vectors or matrices
474   * \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
497     SuperLU(const MatrixType& matrix) : Base()
500       Base::compute(matrix);
507     /** Performs a symbolic decomposition on the sparcity of \a matrix.
513     void analyzePattern(const MatrixType& matrix)
517       Base::analyzePattern(matrix);
520     /** Performs a numeric decomposition of \a matrix
522       * The given matrix must has the same sparcity than the matrix on which the symbolic decomposition has been performed.
526     void factorize(const MatrixType& matrix);
815   * \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
834     SuperILU(const MatrixType& matrix) : Base()
837       Base::compute(matrix);
844     /** Performs a symbolic decomposition on the sparcity of \a matrix.
850     void analyzePattern(const MatrixType& matrix)
852       Base::analyzePattern(matrix);
855     /** Performs a numeric decomposition of \a matrix
857       * The given matrix must has the same sparcity than the matrix on which the symbolic decomposition has been performed.
861     void factorize(const MatrixType& matrix);