This AddObserver method allows to simulate that this class derives from an itkObject for the purpose of reporting iteration events. The goal of this method is to allow ITK-vnl optimizer adaptors to get iteration events despite the fact that VNL does not provide callbacks.

virtual void itk::MultipleValuedVnlCostFunctionAdaptor::compute	(	const InternalParametersType &	x,
		InternalMeasureType *	f,
		InternalDerivativeType *	g
	)			`[virtual]`

Delegate computation of value and gradient to the costFunction.

void itk::MultipleValuedVnlCostFunctionAdaptor::ConvertExternalToInternalGradient	(	const DerivativeType &	input,
		InternalDerivativeType &	output
	)

Convert external derviative measures into internal type

void itk::MultipleValuedVnlCostFunctionAdaptor::ConvertExternalToInternalMeasures	(	const MeasureType &	input,
		InternalMeasureType &	output
	)

Convert external measures into internal type

virtual void itk::MultipleValuedVnlCostFunctionAdaptor::f	(	const InternalParametersType &	inparameters,
		InternalMeasureType &	measures
	)			`[virtual]`

Delegate computation of the value to the CostFunction.

const ParametersType& itk::MultipleValuedVnlCostFunctionAdaptor::GetCachedCurrentParameters ( ) const

const DerivativeType& itk::MultipleValuedVnlCostFunctionAdaptor::GetCachedDerivative ( ) const

const MeasureType& itk::MultipleValuedVnlCostFunctionAdaptor::GetCachedValue ( ) const

Return the value of the last evaluation to the value of the cost function. Note that this method DOES NOT triggers a computation of the function or the derivatives, it only returns previous values. Therefore the values here are only valid after you invoke the f() or gradf() methods.

const MultipleValuedCostFunction* itk::MultipleValuedVnlCostFunctionAdaptor::GetCostFunction ( void ) const [inline]

Get the CostFunction deriving from MultipleValuedCostFunction

Definition at line 71 of file itkMultipleValuedVnlCostFunctionAdaptor.h.

bool itk::MultipleValuedVnlCostFunctionAdaptor::GetUseGradient ( ) const

virtual void itk::MultipleValuedVnlCostFunctionAdaptor::gradf	(	const InternalParametersType &	inparameters,
		InternalDerivativeType &	gradient
	)			`[virtual]`

Delegate computation of the gradient to the costFunction.

void itk::MultipleValuedVnlCostFunctionAdaptor::ReportIteration ( const EventObject & event ) const [protected]

This method is intended to be called by the derived classes in order to notify of an iteration event to any Command/Observers

void itk::MultipleValuedVnlCostFunctionAdaptor::SetCostFunction ( MultipleValuedCostFunction * costFunction ) [inline]

Set the CostFunction deriving from MultipleValuedCostFunction

Definition at line 67 of file itkMultipleValuedVnlCostFunctionAdaptor.h.

void itk::MultipleValuedVnlCostFunctionAdaptor::SetScales ( const ScalesType & scales )

Set current parameters scaling.

void itk::MultipleValuedVnlCostFunctionAdaptor::SetUseGradient ( bool )

Define if the Cost function should provide a customized Gradient computation or the gradient can be computed internally using a default approach

Referenced by UseGradientOff(), and UseGradientOn().

void itk::MultipleValuedVnlCostFunctionAdaptor::UseGradientOff ( ) [inline]

Definition at line 102 of file itkMultipleValuedVnlCostFunctionAdaptor.h.

References SetUseGradient().

void itk::MultipleValuedVnlCostFunctionAdaptor::UseGradientOn ( ) [inline]

Definition at line 101 of file itkMultipleValuedVnlCostFunctionAdaptor.h.

References SetUseGradient().

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

itkMultipleValuedVnlCostFunctionAdaptor.h

Generated at Wed Jul 30 07:33:01 2008 for ITK by


Public Types
typedef MultipleValuedCostFunction::DerivativeType	DerivativeType
typedef vnl_matrix< double >	InternalDerivativeType
typedef vnl_vector< double >	InternalMeasureType
typedef vnl_vector< double >	InternalParametersType
typedef MultipleValuedCostFunction::MeasureType	MeasureType
typedef MultipleValuedCostFunction::ParametersType	ParametersType
typedef Array< double >	ScalesType
Public Member Functions
unsigned long	AddObserver (const EventObject &event, Command *) const
virtual void	compute (const InternalParametersType &x, InternalMeasureType f, InternalDerivativeType g)
void	ConvertExternalToInternalGradient (const DerivativeType &input, InternalDerivativeType &output)
void	ConvertExternalToInternalMeasures (const MeasureType &input, InternalMeasureType &output)
virtual void	f (const InternalParametersType &inparameters, InternalMeasureType &measures)
const MultipleValuedCostFunction *	GetCostFunction (void) const
virtual void	gradf (const InternalParametersType &inparameters, InternalDerivativeType &gradient)
	MultipleValuedVnlCostFunctionAdaptor (unsigned int spaceDimension, unsigned int numberOfValues)
void	SetCostFunction (MultipleValuedCostFunction *costFunction)
void	SetScales (const ScalesType &scales)

const ParametersType &	GetCachedCurrentParameters () const
const DerivativeType &	GetCachedDerivative () const
const MeasureType &	GetCachedValue () const

bool	GetUseGradient () const
void	SetUseGradient (bool)
void	UseGradientOff ()
void	UseGradientOn ()
Protected Member Functions
void	ReportIteration (const EventObject &event) const

itk::MultipleValuedVnlCostFunctionAdaptor Class Reference [Numerics, Optimizers]

Detailed Description

Public Types

Public Member Functions

Protected Member Functions

Member Typedef Documentation

Constructor & Destructor Documentation

Member Function Documentation

itk::MultipleValuedVnlCostFunctionAdaptor Class Reference
[Numerics, Optimizers]