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Eigen
3.4.0
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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.
| _MatrixType | the type of the sparse matrix A, it must be a SparseMatrix<> |
This class follows the sparse solver concept .
Inheritance diagram for Eigen::SuperLU< _MatrixType >:Public Member Functions | |
| 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. | |
| 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 () | |
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inline |
Performs a symbolic decomposition on the sparcity of matrix.
This function is particularly useful when solving for several problems having the same structure.
| 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.