LOCA::MultiPredictor::Tangent Class Reference

Tangent predictor strategy More...

#include <LOCA_MultiPredictor_Tangent.H>

Inheritance diagram for LOCA::MultiPredictor::Tangent:

Collaboration diagram for LOCA::MultiPredictor::Tangent:
List of all members.

Public Member Functions

 Tangent (const Teuchos::RefCountPtr< LOCA::GlobalData > &global_data, const Teuchos::RefCountPtr< Teuchos::ParameterList > &predParams, const Teuchos::RefCountPtr< Teuchos::ParameterList > &solverParams)
virtual ~Tangent ()
 Tangent (const Tangent &source, NOX::CopyType type=NOX::DeepCopy)
 Copy constructor.
virtual LOCA::MultiPredictor::AbstractStrategyoperator= (const LOCA::MultiPredictor::AbstractStrategy &source)
 Assignment operator.
virtual Teuchos::RefCountPtr<
clone (NOX::CopyType type=NOX::DeepCopy) const
 Clone function.
virtual NOX::Abstract::Group::ReturnType compute (bool baseOnSecant, const 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).
virtual NOX::Abstract::Group::ReturnType evaluate (const vector< double > &stepSize, const LOCA::MultiContinuation::ExtendedVector &xVec, LOCA::MultiContinuation::ExtendedMultiVector &result) const
 Evaluate predictor with step size stepSize.
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.

Protected Attributes

Teuchos::RefCountPtr< LOCA::GlobalDataglobalData
 LOCA global data object.
Teuchos::RefCountPtr< Teuchos::ParameterListlinSolverParams
 Stores linear solver parameters.
Teuchos::RefCountPtr< NOX::Abstract::MultiVectorfdfdp
 Stores derivative of residual w.r.t. parameters.
Teuchos::RefCountPtr< LOCA::MultiContinuation::ExtendedMultiVectortangent
 Stores tangent vector.
Teuchos::RefCountPtr< LOCA::MultiContinuation::ExtendedVectorsecant
 Stores secant vector for setting orientation.
bool initialized
 Flag indicating whether vectors have been initialized.

Detailed Description

Tangent predictor strategy

This class implements a predictor strategy based on computing the tangent to the continuation curve. If $p$ is the vector of continuation parameters, then the solution component of the tangent vectors $v_x$ are computed by solving

\[ J v_x = - \frac{\partial f}{\partial p}. \]

The parameter component $v_p$ is set to the identity matrix.

Constructor & Destructor Documentation

LOCA::MultiPredictor::Tangent::Tangent const Teuchos::RefCountPtr< LOCA::GlobalData > &  global_data,
const Teuchos::RefCountPtr< Teuchos::ParameterList > &  predParams,
const Teuchos::RefCountPtr< Teuchos::ParameterList > &  solverParams


global_data [in] Global data object
predParams [in] Predictor parameters. Currently no parameters are used by the Tangent predictor.
solverParams [in] Linear solver parameters used in linear solve to compute tangent vectors $v$.

Member Function Documentation

NOX::Abstract::Group::ReturnType LOCA::MultiPredictor::Tangent::compute bool  baseOnSecant,
const 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).

This method actually implements the predictor solve described above

Implements LOCA::MultiPredictor::AbstractStrategy.

NOX::Abstract::Group::ReturnType LOCA::MultiPredictor::Tangent::evaluate const 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.

bool LOCA::MultiPredictor::Tangent::isTangentScalable  )  const [virtual]

Is the tangent vector for this predictor scalable.

For the tangent predictor, this always returns true.

Implements LOCA::MultiPredictor::AbstractStrategy.

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