Cross Reference: /external/eigen/Eigen/src/SparseCholesky/SimplicialCholesky.h

Lines Matching refs:matrix
28   * such that the factorized matrix is P A P^-1.
30   * \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
55     SimplicialCholeskyBase(const MatrixType& matrix)
58       derived().compute(matrix);
74       *          \c NumericalIssue if the matrix.appears to be negative.
92                 && "SimplicialCholeskyBase::solve(): invalid number of rows of the right hand side matrix b");
106                 && "SimplicialCholesky::solve(): invalid number of rows of the right hand side matrix b");
183     /** Computes the sparse Cholesky decomposition of \a matrix */
185     void compute(const MatrixType& matrix)
187       eigen_assert(matrix.rows()==matrix.cols());
188       Index size = matrix.cols();
190       ordering(matrix, ap);
296   * such that the factorized matrix is P A P^-1.
298   * \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
323     /** Constructs and performs the LLT factorization of \a matrix */
324     SimplicialLLT(const MatrixType& matrix)
325         : Base(matrix) {}
339     /** Computes the sparse Cholesky decomposition of \a matrix */
340     SimplicialLLT& compute(const MatrixType& matrix)
342       Base::template compute<false>(matrix);
346     /** Performs a symbolic decomposition on the sparcity of \a matrix.
357     /** Performs a numeric decomposition of \a matrix
359       * The given matrix must has the same sparcity than the matrix on which the symbolic decomposition has been performed.
368     /** \returns the determinant of the underlying matrix from the current factorization */
385   * such that the factorized matrix is P A P^-1.
387   * \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
413     /** Constructs and performs the LLT factorization of \a matrix */
414     SimplicialLDLT(const MatrixType& matrix)
415         : Base(matrix) {}
434     /** Computes the sparse Cholesky decomposition of \a matrix */
435     SimplicialLDLT& compute(const MatrixType& matrix)
437       Base::template compute<true>(matrix);
441     /** Performs a symbolic decomposition on the sparcity of \a matrix.
452     /** Performs a numeric decomposition of \a matrix
454       * The given matrix must has the same sparcity than the matrix on which the symbolic decomposition has been performed.
463     /** \returns the determinant of the underlying matrix from the current factorization */
494     SimplicialCholesky(const MatrixType& matrix)
497       compute(matrix);
526     /** Computes the sparse Cholesky decomposition of \a matrix */
527     SimplicialCholesky& compute(const MatrixType& matrix)
530         Base::template compute<true>(matrix);
532         Base::template compute<false>(matrix);
536     /** Performs a symbolic decomposition on the sparcity of \a matrix.
547     /** Performs a numeric decomposition of \a matrix
549       * The given matrix must has the same sparcity than the matrix on which the symbolic decomposition has been performed.