Random predictor strategy More...

#include <LOCA_MultiPredictor_Random.H>

Inheritance diagram for LOCA::MultiPredictor::Random:

Collaboration diagram for LOCA::MultiPredictor::Random:

Public Member Functions
	Random (const Teuchos::RCP< LOCA::GlobalData > &global_data, const Teuchos::RCP< Teuchos::ParameterList > &predParams)
	Constructor. More...

virtual	~Random ()
	Destructor.

	Random (const Random &source, NOX::CopyType type=NOX::DeepCopy)
	Copy constructor.

virtual LOCA::MultiPredictor::AbstractStrategy &	operator= (const LOCA::MultiPredictor::AbstractStrategy &source)
	Assignment operator.

virtual Teuchos::RCP < LOCA::MultiPredictor::AbstractStrategy >	clone (NOX::CopyType type=NOX::DeepCopy) const
	Clone function.

virtual NOX::Abstract::Group::ReturnType	compute (bool baseOnSecant, const std::vector< double > &stepSize, LOCA::MultiContinuation::ExtendedGroup &grp, const LOCA::MultiContinuation::ExtendedVector &prevXVec, const LOCA::MultiContinuation::ExtendedVector &xVec)
	Compute the predictor given the current and previous solution vectors. Set baseOnSecant to false if the predictor orientation should not be based on the secant vector (first or last steps of a continuation run). More...

virtual NOX::Abstract::Group::ReturnType	evaluate (const std::vector< double > &stepSize, const LOCA::MultiContinuation::ExtendedVector &xVec, LOCA::MultiContinuation::ExtendedMultiVector &result) const
	Evaluate predictor with step size `stepSize`. More...

virtual NOX::Abstract::Group::ReturnType	computeTangent (LOCA::MultiContinuation::ExtendedMultiVector &tangent)
	Compute tangent to predictor and store in `tangent`.

virtual bool	isTangentScalable () const
	Is the tangent vector for this predictor scalable. More...

Public Member Functions inherited from LOCA::MultiPredictor::AbstractStrategy
	AbstractStrategy ()
	Constructor.

virtual	~AbstractStrategy ()
	Destructor.

Protected Attributes
Teuchos::RCP< LOCA::GlobalData >	globalData
	LOCA global data object.

Teuchos::RCP < LOCA::MultiContinuation::ExtendedMultiVector >	predictor
	Stores predictor vector.

Teuchos::RCP < LOCA::MultiContinuation::ExtendedVector >	secant
	Stores secant vector for setting orientation.

bool	initialized
	Flag indicating whether vectors have been initialized.

double	epsilon
	Size of random value.

Additional Inherited Members
Protected Member Functions inherited from LOCA::MultiPredictor::AbstractStrategy
virtual void	setPredictorOrientation (bool baseOnSecant, const std::vector< double > &stepSize, const LOCA::MultiContinuation::ExtendedGroup &grp, const LOCA::MultiContinuation::ExtendedVector &prevXVec, const LOCA::MultiContinuation::ExtendedVector &xVec, LOCA::MultiContinuation::ExtendedVector &secant, LOCA::MultiContinuation::ExtendedMultiVector &tangent)
	Sets orientation of predictor based on parameter change from previous steps. More...

Detailed Description

Random predictor strategy

This class computes the predictor direction where the solution component is filled with random values and the parameter component equal to 1. Each componenet of the solution vector $v_i$ of the predictor is given by $v_i = \epsilon r_i x_i$ where $r_i$ is a random value between -1 and 1, $x_i$ is the corresponding component of the solution vector, and $\epsilon$ is a parameter.

The parameters used by this class supplied in the constructor are:

"Epsilon" - $\epsilon$ as defined above (Default 1.0e-3)

Constructor & Destructor Documentation

LOCA::MultiPredictor::Random::Random	(	const Teuchos::RCP< LOCA::GlobalData > &	global_data,
		const Teuchos::RCP< Teuchos::ParameterList > &	predParams
	)

Constructor.

Parameters

global_data	[in] Global data object
predParams	[in] Predictor parameters as described above.

Member Function Documentation

NOX::Abstract::Group::ReturnType LOCA::MultiPredictor::Random::compute	(	bool	baseOnSecant,
		const std::vector< double > &	stepSize,
		LOCA::MultiContinuation::ExtendedGroup &	grp,
		const LOCA::MultiContinuation::ExtendedVector &	prevXVec,
		const LOCA::MultiContinuation::ExtendedVector &	xVec
	)

virtual

Compute the predictor given the current and previous solution vectors. Set baseOnSecant to false if the predictor orientation should not be based on the secant vector (first or last steps of a continuation run).

This method actually implements the predictor computation described above

Implements LOCA::MultiPredictor::AbstractStrategy.

References LOCA::MultiContinuation::ExtendedVector::clone(), LOCA::Extended::Vector::createMultiVector(), LOCA::MultiContinuation::ExtendedVector::getXVec(), LOCA::Extended::Vector::init(), NOX::Abstract::Group::Ok, NOX::Abstract::MultiVector::random(), NOX::Abstract::MultiVector::scale(), NOX::ShapeCopy, and NOX::Utils::StepperDetails.

NOX::Abstract::Group::ReturnType LOCA::MultiPredictor::Random::evaluate	(	const std::vector< double > &	stepSize,
		const LOCA::MultiContinuation::ExtendedVector &	xVec,
		LOCA::MultiContinuation::ExtendedMultiVector &	result
	)		const

virtual

Evaluate predictor with step size stepSize.

This method computes result[i] = xVec[i] + stepSize[i] * v[i] for each i, where v[i] is the ith predictor direction.

Implements LOCA::MultiPredictor::AbstractStrategy.

References NOX::Abstract::Group::Ok.

bool LOCA::MultiPredictor::Random::isTangentScalable ( ) const

virtual

Is the tangent vector for this predictor scalable.

For the random predictor, this always returns false.

Implements LOCA::MultiPredictor::AbstractStrategy.

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

LOCA_MultiPredictor_Random.H
LOCA_MultiPredictor_Random.C

Public Member Functions

Protected Attributes

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation