Eigen::DiagonalPreconditioner< _Scalar > Class Template Reference

A preconditioner based on the digonal entries. More...

#include <BasicPreconditioners.h>

Collaboration diagram for Eigen::DiagonalPreconditioner< _Scalar >:

Public Types
typedef Matrix< Scalar, Dynamic, Dynamic >	MatrixType

Public Member Functions
template<typename MatType >
	DiagonalPreconditioner (const MatType &mat)
Index	rows () const
Index	cols () const
template<typename MatType >
DiagonalPreconditioner &	analyzePattern (const MatType &)
template<typename MatType >
DiagonalPreconditioner &	factorize (const MatType &mat)
template<typename MatType >
DiagonalPreconditioner &	compute (const MatType &mat)
template<typename Rhs , typename Dest >
void	_solve (const Rhs &b, Dest &x) const
template<typename Rhs >
const internal::solve_retval< DiagonalPreconditioner, Rhs >	solve (const MatrixBase< Rhs > &b) const

Protected Attributes
Vector	m_invdiag
bool	m_isInitialized

Detailed Description

template<typename _Scalar>
class Eigen::DiagonalPreconditioner< _Scalar >

A preconditioner based on the digonal entries.

This class allows to approximately solve for A.x = b problems assuming A is a diagonal matrix. In other words, this preconditioner neglects all off diagonal entries and, in Eigen's language, solves for:

A.diagonal().asDiagonal() . x = b

Template Parameters

_Scalar

the type of the scalar.

This preconditioner is suitable for both selfadjoint and general problems. The diagonal entries are pre-inverted and stored into a dense vector.

Note

A variant that has yet to be implemented would attempt to preserve the norm of each column.

Definition at line 33 of file BasicPreconditioners.h.

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

• C:/Users/Brig/Documents/ShapeWorksStudio/src/Surfworks/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h