tmath::sparse::SparseLLT Class Reference
Base class of LL' solvers. The input matrices must be selfadjoint (symmetric) It already implements the standard LL' decomposition. More...
#include <sparsesolver.hpp>
Inheritance diagram for tmath::sparse::SparseLLT:
Collaboration diagram for tmath::sparse::SparseLLT:
Public Types | |
| enum | { CompleteFactorization = Eigen::CompleteFactorization, IncompleteFactorization = Eigen::IncompleteFactorization, MemoryEfficient = Eigen::MemoryEfficient, SupernodalMultifrontal = Eigen::SupernodalMultifrontal, SupernodalLeftLooking = Eigen::SupernodalLeftLooking } |
Public Member Functions | |
| virtual bool | Compute (SparseMatrix &) |
| computes the factorization, returns true if succeeded | |
| virtual void | SetFlags (int flag) |
| virtual void | SetPrecision (double prec) |
| virtual bool | Solve (const Matrix &b, Matrix &x) |
| virtual bool | SolveInPlace (Matrix &b) |
| SparseLLT () | |
| default constructor | |
| virtual std::string | typeIdent () const |
| returns the name of the datatype | |
| virtual | ~SparseLLT () |
| destructor | |
Private Types | |
|
typedef Eigen::SparseLLT < TSparseSelfAdjointMatrix > | TSolver |
Private Member Functions | |
| const TSolver & | solver () const |
| TSolver & | solver () |
Private Attributes | |
| TSolver | m_solver |
Detailed Description
Base class of LL' solvers. The input matrices must be selfadjoint (symmetric) It already implements the standard LL' decomposition.Member Function Documentation
Solves the given vector on return; returns true if succeeded
Reimplemented from tmath::sparse::SparseSolver.
| virtual bool tmath::sparse::SparseLLT::SolveInPlace | ( | Matrix & | b | ) | [virtual] |
Factorizes this matrix and solves the given vector in place; returns true if succeeded
Reimplemented from tmath::sparse::SparseSolver.
Reimplemented in tmath::sparse::SparseLowerLLT, tmath::sparse::SparseLLTCholmod, and tmath::sparse::SparseLowerLLTCholmod.
The documentation for this class was generated from the following file:
- modules/tmath/tmath/sparse/sparsesolver.hpp
