A sparse direct LU factorization and solver based on the PARDISO library. More...
#include <PardisoSupport.h>
Inherits PardisoImpl< Derived >.
Public Member Functions | |
| Derived & | analyzePattern (const MatrixType &matrix) |
| Derived & | factorize (const MatrixType &matrix) |
| ComputationInfo | info () const |
| Reports whether previous computation was successful. | |
| ParameterType & | pardisoParameterArray () |
| template<typename Rhs > | |
| const internal::solve_retval < PardisoImpl, Rhs > | solve (const MatrixBase< Rhs > &b) const |
| template<typename Rhs > | |
| const internal::sparse_solve_retval < PardisoImpl, Rhs > | solve (const SparseMatrixBase< Rhs > &b) const |
A sparse direct LU factorization and solver based on the PARDISO library.
This class allows to solve for A.X = B sparse linear problems via a direct LU factorization using the Intel MKL PARDISO library. The sparse matrix A must be squared and invertible. The vectors or matrices X and B can be either dense or sparse.
| _MatrixType | the type of the sparse matrix A, it must be a SparseMatrix<> |
| Derived & analyzePattern | ( | const MatrixType & | matrix | ) | [inherited] |
Performs a symbolic decomposition on the sparcity of matrix.
This function is particularly useful when solving for several problems having the same structure.
| Derived & factorize | ( | const MatrixType & | matrix | ) | [inherited] |
Performs a numeric decomposition of matrix
The given matrix must has the same sparcity than the matrix on which the symbolic decomposition has been performed.
| ComputationInfo info | ( | ) | const [inline, inherited] |
Reports whether previous computation was successful.
Success if computation was succesful, NumericalIssue if the matrix appears to be negative. | ParameterType& pardisoParameterArray | ( | ) | [inline, inherited] |
| const internal::solve_retval<PardisoImpl, Rhs> solve | ( | const MatrixBase< Rhs > & | b | ) | const [inline, inherited] |
using the current decomposition of A.| const internal::sparse_solve_retval<PardisoImpl, Rhs> solve | ( | const SparseMatrixBase< Rhs > & | b | ) | const [inline, inherited] |
using the current decomposition of A.