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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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. More...

	DiagnosticLinearOp (const Teuchos::RCP< std::ostream > &ostrm, const LinearOp &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. More...

	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. More...

virtual	~DiagnosticLinearOp ()
	Destructor prints out timing information about this operator. More...

Inherited methods from Thyra::LinearOpBase
virtual VectorSpace	range () const
	Range space of this operator. More...

virtual VectorSpace	domain () const
	Domain space of this operator. More...

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. More...

Additional Inherited Members
Protected Member Functions inherited from Teko::ImplicitLinearOp
virtual bool	opSupportedImpl (const Thyra::EOpTransp M_trans) const
	Functions required by Thyra::LinearOpBase. More...

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 &	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	(	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 80 of file Teko_DiagnosticLinearOp.cpp.

Teko::DiagnosticLinearOp::~DiagnosticLinearOp ( )

virtual

Destructor prints out timing information about this operator.

Definition at line 90 of file Teko_DiagnosticLinearOp.cpp.

Member Function Documentation

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

inlinevirtual

Range space of this operator.

Implements Teko::ImplicitLinearOp.

Definition at line 100 of file Teko_DiagnosticLinearOp.hpp.

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

inlinevirtual

Domain space of this operator.

Implements Teko::ImplicitLinearOp.

Definition at line 103 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!).

Parameters

[in]	x
[in,out]	y
[in]	alpha	(default=1)
[in]	beta	(default=0)

Implements Teko::ImplicitLinearOp.

Definition at line 116 of file Teko_DiagnosticLinearOp.cpp.

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

Public Member Functions

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation