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/Eigen3Eigen::SuperLU
template<typename _MatrixType>
class Eigen::SuperLU< _MatrixType >
A sparse direct LU factorization and solver based on the SuperLU library.
This class allows to solve for A.X = B sparse linear problems via a direct LU factorization using the SuperLU library. The sparse matrix A must be squared and invertible. The vectors or matrices X and B can be either dense or sparse.
- Template Parameters
-
_MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
- Warning
- This class is only for the 4.x versions of SuperLU. The 3.x and 5.x versions are not supported.
This class follows the sparse solver concept .
- See also
- Sparse solver concept, class SparseLU
| void | analyzePattern (const MatrixType &matrix) |
| void | factorize (const MatrixType &matrix) |
 Public Member Functions inherited from Eigen::SuperLUBase< _MatrixType, SuperLU< _MatrixType > >
| |
| void | analyzePattern (const MatrixType &) |
| void | compute (const MatrixType &matrix) |
| ComputationInfo | info () const |
| Reports whether previous computation was successful. More... |
|
| superlu_options_t & | options () |
|
Public Member Functions inherited from Eigen::SparseSolverBase< Derived >
| |
| template<typename Rhs > | |
| const Solve< Derived, Rhs > | solve (const MatrixBase< Rhs > &b) const |
| template<typename Rhs > | |
| const Solve< Derived, Rhs > | solve (const SparseMatrixBase< Rhs > &b) const |
| SparseSolverBase () | |
analyzePattern()
| inline |
Performs a symbolic decomposition on the sparcity of matrix.
This function is particularly useful when solving for several problems having the same structure.
- See also
- factorize()
factorize()
| void Eigen::SuperLU< MatrixType >::factorize | ( | const MatrixType & | matrix | ) |
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.
- See also
- analyzePattern()
The documentation for this class was generated from the following file:
© Eigen.
Licensed under the MPL2 License.
https://eigen.tuxfamily.org/dox/classEigen_1_1SuperLU.html