A virtual class that simplifies the construction of custom operators. More...

#include <Teko_ImplicitLinearOp.hpp>

Inheritance diagram for Teko::ImplicitLinearOp:

[legend]

Public Member Functions
virtual VectorSpace	range () const =0
	Range space of this operator.
virtual VectorSpace	domain () const =0
	Domain space of this operator.
virtual void	implicitApply (const MultiVector &x, MultiVector &y, const double alpha=1.0, const double beta=0.0) const =0
	Perform a matrix vector multiply with this implicitly defined blocked operator.

Protected Member Functions
virtual bool	opSupportedImpl (const Thyra::EOpTransp M_trans) const
	Functions required by Thyra::LinearOpBase.

Detailed Description

A virtual class that simplifies the construction of custom operators.

Definition at line 23 of file Teko_ImplicitLinearOp.hpp.

Member Function Documentation

◆ range()

virtual VectorSpace Teko::ImplicitLinearOp::range ( ) const

pure virtual

Range space of this operator.

Implemented in Teko::DiagnosticLinearOp, Teko::ReorderedLinearOp, and Teko::SmootherLinearOp.

◆ domain()

virtual VectorSpace Teko::ImplicitLinearOp::domain ( ) const

pure virtual

Domain space of this operator.

Implemented in Teko::DiagnosticLinearOp, Teko::ReorderedLinearOp, and Teko::SmootherLinearOp.

◆ implicitApply()

virtual void Teko::ImplicitLinearOp::implicitApply	(	const MultiVector &	x,
		MultiVector &	y,
		const double	alpha = 1.0,
		const double	beta = 0.0 ) const

pure virtual

Perform a matrix vector multiply with this implicitly defined blocked operator.

The apply function takes one vector as input and applies a linear operator. The result is returned in . If this operator is reprsented as then $y = \alpha M x + \beta y$