Eigen::DiagonalPreconditioner< Scalar_ > Class Template Reference

#include <Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h>

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 class follows the sparse solver concept .

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.

See also

class LeastSquareDiagonalPreconditioner, class ConjugateGradient

Inheritance diagram for Eigen::DiagonalPreconditioner< Scalar_ >:

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

• /builds/libeigen/eigen/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h