linear solver using dense cholesky decomposition More...

Collaboration diagram for LinearSolverDense< MatrixType >:

Public Member Functions
	LinearSolverDense ()
	Default constructor.
bool	init ()
	Resets the solver state for a new factorization.
bool	solve (const SparseBlockMatrix< MatrixType > &A, g_type x, g_type b)
	Solves the linear system Ax = b using dense Cholesky decomposition.

Public Attributes
SparseOptimizer	optimizer
	The sparse optimizer instance.

Protected Attributes
Eigen::LDLT< Eigen::MatrixX< g_type > >	_cholesky
	LDLT Cholesky decomposition.
Eigen::MatrixX< g_type >	_H
	Dense representation of the system matrix.
bool	_reset
	Whether the dense matrix needs to be re-zeroed.

Detailed Description

template<typename MatrixType>
class LinearSolverDense< MatrixType >

linear solver using dense cholesky decomposition

Definition at line 43 of file linear_solver_dense.h.

Member Function Documentation

template<typename MatrixType>

bool LinearSolverDense< MatrixType >::init ( )

inline

Resets the solver state for a new factorization.

Definition at line 59 of file linear_solver_dense.h.

References _reset.

template<typename MatrixType>

bool LinearSolverDense< MatrixType >::solve	(	const SparseBlockMatrix< MatrixType > &	A,
		g_type *	x,
		g_type *	b )

inline

Solves the linear system Ax = b using dense Cholesky decomposition.

Parameters

[in]	A	The sparse block matrix (symmetric, positive definite).
[out]	x	The solution vector.
[in]	b	The right-hand side vector.

Definition at line 70 of file linear_solver_dense.h.

References _cholesky, _H, and _reset.

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