The base class for the direct and incomplete LU factorization of SuperLU.
More...
#include <SuperLUSupport.h>
|
enum | { ColsAtCompileTime = MatrixType::ColsAtCompileTime,
MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime
} |
|
typedef _MatrixType | MatrixType |
|
typedef MatrixType::Scalar | Scalar |
|
typedef MatrixType::RealScalar | RealScalar |
|
typedef MatrixType::StorageIndex | StorageIndex |
|
typedef Matrix< Scalar, Dynamic, 1 > | Vector |
|
typedef Matrix< int, 1, MatrixType::ColsAtCompileTime > | IntRowVectorType |
|
typedef Matrix< int, MatrixType::RowsAtCompileTime, 1 > | IntColVectorType |
|
typedef Map< PermutationMatrix< Dynamic, Dynamic, int > > | PermutationMap |
|
typedef SparseMatrix< Scalar > | LUMatrixType |
|
|
Index | rows () const |
|
Index | cols () const |
|
superlu_options_t & | options () |
|
ComputationInfo | info () const |
| Reports whether previous computation was successful. More...
|
|
void | compute (const MatrixType &matrix) |
| Computes the sparse Cholesky decomposition of matrix.
|
|
void | analyzePattern (const MatrixType &) |
| Performs a symbolic decomposition on the sparcity of matrix. More...
|
|
template<typename Stream > |
void | dumpMemory (Stream &) |
|
| SparseSolverBase () |
| Default constructor.
|
|
Derived & | derived () |
|
const Derived & | derived () const |
|
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 |
|
template<typename Rhs , typename Dest > |
void | _solve_impl (const SparseMatrixBase< Rhs > &b, SparseMatrixBase< Dest > &dest) const |
|
|
void | initFactorization (const MatrixType &a) |
|
void | init () |
|
void | extractData () const |
|
void | clearFactors () |
|
template<typename _MatrixType, typename Derived>
class Eigen::SuperLUBase< _MatrixType, Derived >
The base class for the direct and incomplete LU factorization of SuperLU.
§ analyzePattern()
template<typename _MatrixType, typename Derived>
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()
§ info()
template<typename _MatrixType, typename Derived>
Reports whether previous computation was successful.
- Returns
Success
if computation was succesful, NumericalIssue
if the matrix.appears to be negative.
§ options()
template<typename _MatrixType, typename Derived>
- Returns
- a reference to the Super LU option object to configure the Super LU algorithms.
The documentation for this class was generated from the following file: