This linear operator prints diagnostics about operator application and creation times. It is useful for debugging problems and determining bottle necks. More...

#include <Teko_DiagnosticLinearOp.hpp>

Inheritance diagram for Teko::DiagnosticLinearOp:

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List of all members.

Public Member Functions
	DiagnosticLinearOp (const Teuchos::RCP< std::ostream > &ostrm, const ModifiableLinearOp &A, const std::string &diagnosticString)
	This constructor explicitly takes the linear operator that needs to be wrapped and a string for output that describes the diagnostics.
	DiagnosticLinearOp (const Teuchos::RCP< std::ostream > &ostrm, const LinearOp &fwdOp, const ModifiableLinearOp &A, const std::string &diagnosticString)
	This constructor explicitly takes the linear operator that needs to be wrapped and a string for output that describes the diagnostics.
virtual	~DiagnosticLinearOp ()
	Destructor prints out timing information about this operator.
Inherited methods from Thyra::LinearOpBase
virtual VectorSpace	range () const
	Range space of this operator.
virtual VectorSpace	domain () const
	Domain space of this operator.
virtual void	implicitApply (const MultiVector &x, MultiVector &y, const double alpha=1.0, const double beta=0.0) const
	Perform a matrix vector multiply with this operator.
Protected Attributes
ModifiableLinearOp	wrapOpA_
	inverse of
Teko::LinearOp	fwdOp_
	inverse of

Detailed Description

This linear operator prints diagnostics about operator application and creation times. It is useful for debugging problems and determining bottle necks.

Definition at line 69 of file Teko_DiagnosticLinearOp.hpp.

Constructor & Destructor Documentation

Teko::DiagnosticLinearOp::DiagnosticLinearOp	(	const Teuchos::RCP< std::ostream > &	ostrm,
		const ModifiableLinearOp &	A,
		const std::string &	diagnosticString
	)

This constructor explicitly takes the linear operator that needs to be wrapped and a string for output that describes the diagnostics.

Definition at line 59 of file Teko_DiagnosticLinearOp.cpp.

Teko::DiagnosticLinearOp::DiagnosticLinearOp	(	const Teuchos::RCP< std::ostream > &	ostrm,
		const LinearOp &	fwdOp,
		const ModifiableLinearOp &	A,
		const std::string &	diagnosticString
	)

This constructor explicitly takes the linear operator that needs to be wrapped and a string for output that describes the diagnostics.

Definition at line 68 of file Teko_DiagnosticLinearOp.cpp.

Teko::DiagnosticLinearOp::~DiagnosticLinearOp ( ) [virtual]

Destructor prints out timing information about this operator.

Definition at line 74 of file Teko_DiagnosticLinearOp.cpp.

Member Function Documentation

virtual VectorSpace Teko::DiagnosticLinearOp::range ( ) const [inline, virtual]

Range space of this operator.

Implements Teko::ImplicitLinearOp.

Definition at line 91 of file Teko_DiagnosticLinearOp.hpp.

virtual VectorSpace Teko::DiagnosticLinearOp::domain ( ) const [inline, virtual]

Domain space of this operator.

Implements Teko::ImplicitLinearOp.

Definition at line 94 of file Teko_DiagnosticLinearOp.hpp.

void Teko::DiagnosticLinearOp::implicitApply	(	const MultiVector &	x,
		MultiVector &	y,
		const double	alpha = `1.0`,
		const double	beta = `0.0`
	)		const `[virtual]`

Perform a matrix vector multiply with this operator.

The apply function takes one vector as input and applies the inverse $ LDU $ decomposition. The result is returned in $y$ . If this operator is reprsented as $M$ then $y = \alpha M x + \beta y$ (ignoring conjugation!).