tngmath::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>

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List of all members.

Public Types

enum  { CompleteFactorization = Eigen::CompleteFactorization, IncompleteFactorization = Eigen::IncompleteFactorization, MemoryEfficient = Eigen::MemoryEfficient, SupernodalMultifrontal = Eigen::SupernodalMultifrontal, SupernodalLeftLooking = Eigen::SupernodalLeftLooking }

Public Member Functions

virtual bool Compute (const SparseMatrixBase &)
 computes the factorization, returns true if succeeded
virtual void SetFlags (int flag)
virtual void SetPrecision (double prec)
virtual bool Solve (const MatrixBase &b, MatrixBase &x)
virtual bool SolveInPlace (MatrixBase &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

virtual bool tngmath::SparseLLT::Solve ( const MatrixBase b,
MatrixBase x 
) [virtual]

Factorizes this matrix and solves the given vector on return; returns true if succeeded

Reimplemented from tngmath::SparseSolver.

virtual bool tngmath::SparseLLT::SolveInPlace ( MatrixBase b  )  [virtual]

Factorizes this matrix and solves the given vector in place; returns true if succeeded

Reimplemented from tngmath::SparseSolver.

Reimplemented in tngmath::SparseUpperLLT, tngmath::SparseLowerLLT, tngmath::SparseLLTCholmod, tngmath::SparseUpperLLTCholmod, and tngmath::SparseLowerLLTCholmod.


The documentation for this class was generated from the following file:

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