itk::SingleValuedVnlCostFunctionAdaptor Class Reference
[Numerics, Optimizers]

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

Delegate computation of value and gradient to the costFunction.

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

Convert external derviative measures into internal type

virtual InternalMeasureType itk::SingleValuedVnlCostFunctionAdaptor::f ( const InternalParametersType & inparameters ) [virtual]

Delegate computation of the value to the CostFunction.

const ParametersType& itk::SingleValuedVnlCostFunctionAdaptor::GetCachedCurrentParameters ( ) 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 DerivativeType& itk::SingleValuedVnlCostFunctionAdaptor::GetCachedDerivative ( ) 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 MeasureType& itk::SingleValuedVnlCostFunctionAdaptor::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 SingleValuedCostFunction* itk::SingleValuedVnlCostFunctionAdaptor::GetCostFunction ( void ) const [inline]

Get the CostFunction deriving from SingleValuedCostFunction

Definition at line 71 of file itkSingleValuedVnlCostFunctionAdaptor.h.

bool itk::SingleValuedVnlCostFunctionAdaptor::GetNegateCostFunction ( ) const

Set/Get Negate cost function. The purpose of this boolean flag is to make possible to take certain VNL optimizers that are only minimizers, and use them for maximizing functions. When the boolean flag is set to true, the values returned by GetValue in the internal ITK cost function will be multiplied by -1 before returning it in the f() function. Similar operations will be done for the gradf() and compute() methods. When the boolean flag is set to false, then the values returned by the ITK cost function will be passed unchanged to the VNL optimizers.

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

Delegate computation of the gradient to the costFunction.

void itk::SingleValuedVnlCostFunctionAdaptor::NegateCostFunctionOff ( ) [inline]

Set/Get Negate cost function. The purpose of this boolean flag is to make possible to take certain VNL optimizers that are only minimizers, and use them for maximizing functions. When the boolean flag is set to true, the values returned by GetValue in the internal ITK cost function will be multiplied by -1 before returning it in the f() function. Similar operations will be done for the gradf() and compute() methods. When the boolean flag is set to false, then the values returned by the ITK cost function will be passed unchanged to the VNL optimizers.

Definition at line 105 of file itkSingleValuedVnlCostFunctionAdaptor.h.

void itk::SingleValuedVnlCostFunctionAdaptor::NegateCostFunctionOn ( ) [inline]

Set/Get Negate cost function. The purpose of this boolean flag is to make possible to take certain VNL optimizers that are only minimizers, and use them for maximizing functions. When the boolean flag is set to true, the values returned by GetValue in the internal ITK cost function will be multiplied by -1 before returning it in the f() function. Similar operations will be done for the gradf() and compute() methods. When the boolean flag is set to false, then the values returned by the ITK cost function will be passed unchanged to the VNL optimizers.

Definition at line 104 of file itkSingleValuedVnlCostFunctionAdaptor.h.

void itk::SingleValuedVnlCostFunctionAdaptor::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::SingleValuedVnlCostFunctionAdaptor::SetCostFunction ( SingleValuedCostFunction * costFunction ) [inline]

Set the CostFunction deriving from SingleValuedCostFunction

Definition at line 67 of file itkSingleValuedVnlCostFunctionAdaptor.h.

void itk::SingleValuedVnlCostFunctionAdaptor::SetNegateCostFunction ( bool value )

Set/Get Negate cost function. The purpose of this boolean flag is to make possible to take certain VNL optimizers that are only minimizers, and use them for maximizing functions. When the boolean flag is set to true, the values returned by GetValue in the internal ITK cost function will be multiplied by -1 before returning it in the f() function. Similar operations will be done for the gradf() and compute() methods. When the boolean flag is set to false, then the values returned by the ITK cost function will be passed unchanged to the VNL optimizers.

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

Set current parameters scaling.

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

itkSingleValuedVnlCostFunctionAdaptor.h


Public Types
typedef SingleValuedCostFunction::DerivativeType	DerivativeType
typedef vnl_vector< double >	InternalDerivativeType
typedef double	InternalMeasureType
typedef vnl_vector< double >	InternalParametersType
typedef SingleValuedCostFunction::MeasureType	MeasureType
typedef SingleValuedCostFunction::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) const
virtual InternalMeasureType	f (const InternalParametersType &inparameters)
const SingleValuedCostFunction *	GetCostFunction (void) const
virtual void	gradf (const InternalParametersType &inparameters, InternalDerivativeType &gradient)
void	SetCostFunction (SingleValuedCostFunction *costFunction)
void	SetScales (const ScalesType &scales)
	SingleValuedVnlCostFunctionAdaptor (unsigned int spaceDimension)

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

bool	GetNegateCostFunction () const
void	NegateCostFunctionOff ()
void	NegateCostFunctionOn ()
void	SetNegateCostFunction (bool value)
Protected Member Functions
void	ReportIteration (const EventObject &event) const

itk::SingleValuedVnlCostFunctionAdaptor Class Reference [Numerics, Optimizers]

Public Types

Public Member Functions

Protected Member Functions

Detailed Description

Member Typedef Documentation

Constructor & Destructor Documentation

Member Function Documentation

itk::SingleValuedVnlCostFunctionAdaptor Class Reference
[Numerics, Optimizers]