itk::MultipleValuedVnlCostFunctionAdaptor Class Reference

#include <itkMultipleValuedVnlCostFunctionAdaptor.h>

Inheritance diagram for itk::MultipleValuedVnlCostFunctionAdaptor:

Collaboration diagram for itk::MultipleValuedVnlCostFunctionAdaptor:

Public Types
using	DerivativeType = MultipleValuedCostFunction::DerivativeType
using	InternalDerivativeType = vnl_matrix< double >
using	InternalMeasureType = vnl_vector< double >
using	InternalParametersType = vnl_vector< double >
using	MeasureType = MultipleValuedCostFunction::MeasureType
using	ParametersType = MultipleValuedCostFunction::ParametersType
using	ScalesType = Array< double >

Public Member Functions
unsigned long	AddObserver (const EventObject &event, Command *) const
virtual void	compute (const InternalParametersType &x, InternalMeasureType *ff, InternalDerivativeType *g)
void	ConvertExternalToInternalGradient (const DerivativeType &input, InternalDerivativeType &output)
void	ConvertExternalToInternalMeasures (const MeasureType &input, InternalMeasureType &output)
void	f (const InternalParametersType &inparameters, InternalMeasureType &measures) override
const ParametersType &	GetCachedCurrentParameters () const
const DerivativeType &	GetCachedDerivative () const
const MeasureType &	GetCachedValue () const
const MultipleValuedCostFunction *	GetCostFunction () const
bool	GetUseGradient () const
void	gradf (const InternalParametersType &inparameters, InternalDerivativeType &gradient) override
	MultipleValuedVnlCostFunctionAdaptor (unsigned int spaceDimension, unsigned int numberOfValues)
void	SetCostFunction (MultipleValuedCostFunction *costFunction)
void	SetScales (const ScalesType &scales)
void	SetUseGradient (bool)
void	UseGradientOff ()
void	UseGradientOn ()

Protected Member Functions
void	ReportIteration (const EventObject &event) const

Private Member Functions
virtual const ScalesType &	GetInverseScales () const

Private Attributes
ParametersType	m_CachedCurrentParameters
DerivativeType	m_CachedDerivative
MeasureType	m_CachedValue
MultipleValuedCostFunction::Pointer	m_CostFunction
ScalesType	m_InverseScales
Object::Pointer	m_Reporter
bool	m_ScalesInitialized

Detailed Description

This class is an Adaptor that allows to pass itk::MultipleValuedCostFunctions to vnl_optimizers expecting a vnl_cost_function.

This class returns a single valued.

Definition at line 37 of file itkMultipleValuedVnlCostFunctionAdaptor.h.

Member Typedef Documentation

DerivativeType

using itk::MultipleValuedVnlCostFunctionAdaptor::DerivativeType = MultipleValuedCostFunction::DerivativeType

Derivatives of the MultipleValuedCostFunction

Definition at line 56 of file itkMultipleValuedVnlCostFunctionAdaptor.h.

InternalDerivativeType

using itk::MultipleValuedVnlCostFunctionAdaptor::InternalDerivativeType = vnl_matrix<double>

InternalGradientType type alias.

Definition at line 47 of file itkMultipleValuedVnlCostFunctionAdaptor.h.

InternalMeasureType

using itk::MultipleValuedVnlCostFunctionAdaptor::InternalMeasureType = vnl_vector<double>

InternalMeasureType type alias.

Definition at line 44 of file itkMultipleValuedVnlCostFunctionAdaptor.h.

InternalParametersType

using itk::MultipleValuedVnlCostFunctionAdaptor::InternalParametersType = vnl_vector<double>

InternalParametersType type alias.

Definition at line 41 of file itkMultipleValuedVnlCostFunctionAdaptor.h.

MeasureType

using itk::MultipleValuedVnlCostFunctionAdaptor::MeasureType = MultipleValuedCostFunction::MeasureType

MeasureType of the MultipleValuedCostFunction

Definition at line 50 of file itkMultipleValuedVnlCostFunctionAdaptor.h.

ParametersType

using itk::MultipleValuedVnlCostFunctionAdaptor::ParametersType = MultipleValuedCostFunction::ParametersType

Parameters of the MultipleValuedCostFunction

Definition at line 53 of file itkMultipleValuedVnlCostFunctionAdaptor.h.

ScalesType

using itk::MultipleValuedVnlCostFunctionAdaptor::ScalesType = Array<double>

Scales type alias

Definition at line 59 of file itkMultipleValuedVnlCostFunctionAdaptor.h.

Constructor & Destructor Documentation

MultipleValuedVnlCostFunctionAdaptor()

itk::MultipleValuedVnlCostFunctionAdaptor::MultipleValuedVnlCostFunctionAdaptor	(	unsigned int	spaceDimension,
		unsigned int	numberOfValues
	)

Constructor with size

Member Function Documentation

AddObserver()

unsigned long itk::MultipleValuedVnlCostFunctionAdaptor::AddObserver	(	const EventObject &	event,
		Command *
	)		const

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.

compute()

virtual void itk::MultipleValuedVnlCostFunctionAdaptor::compute ( const InternalParametersType &  x, InternalMeasureType *  ff, InternalDerivativeType *  g  )

virtual

Delegate computation of value and gradient to the costFunction.

ConvertExternalToInternalGradient()

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

Convert external derivative measures into internal type

ConvertExternalToInternalMeasures()

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

Convert external measures into internal type

f()

void itk::MultipleValuedVnlCostFunctionAdaptor::f ( const InternalParametersType &  inparameters, InternalMeasureType &  measures  )

override

Delegate computation of the value to the CostFunction.

GetCachedCurrentParameters()

const ParametersType& itk::MultipleValuedVnlCostFunctionAdaptor::GetCachedCurrentParameters

(

)

const

GetCachedDerivative()

const DerivativeType& itk::MultipleValuedVnlCostFunctionAdaptor::GetCachedDerivative

(

)

const

GetCachedValue()

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.

GetCostFunction()

const MultipleValuedCostFunction* itk::MultipleValuedVnlCostFunctionAdaptor::GetCostFunction ( ) const

inline

Get the CostFunction deriving from MultipleValuedCostFunction

Definition at line 73 of file itkMultipleValuedVnlCostFunctionAdaptor.h.

GetInverseScales()

virtual const ScalesType& itk::MultipleValuedVnlCostFunctionAdaptor::GetInverseScales ( ) const

privatevirtual

Get current parameters scaling.

GetUseGradient()

bool itk::MultipleValuedVnlCostFunctionAdaptor::GetUseGradient

(

)

const

gradf()

void itk::MultipleValuedVnlCostFunctionAdaptor::gradf ( const InternalParametersType &  inparameters, InternalDerivativeType &  gradient  )

override

Delegate computation of the gradient to the costFunction.

ReportIteration()

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

SetCostFunction()

void itk::MultipleValuedVnlCostFunctionAdaptor::SetCostFunction ( MultipleValuedCostFunction *  costFunction )

inline

Set the CostFunction deriving from MultipleValuedCostFunction

Definition at line 66 of file itkMultipleValuedVnlCostFunctionAdaptor.h.

SetScales()

void itk::MultipleValuedVnlCostFunctionAdaptor::SetScales

(

const ScalesType &

scales

)

Set current parameters scaling.

SetUseGradient()

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

UseGradientOff()

void itk::MultipleValuedVnlCostFunctionAdaptor::UseGradientOff ( )

inline

Definition at line 110 of file itkMultipleValuedVnlCostFunctionAdaptor.h.

UseGradientOn()

void itk::MultipleValuedVnlCostFunctionAdaptor::UseGradientOn ( )

inline

Definition at line 105 of file itkMultipleValuedVnlCostFunctionAdaptor.h.

Member Data Documentation

m_CachedCurrentParameters

ParametersType itk::MultipleValuedVnlCostFunctionAdaptor::m_CachedCurrentParameters

mutableprivate

Definition at line 159 of file itkMultipleValuedVnlCostFunctionAdaptor.h.

m_CachedDerivative

DerivativeType itk::MultipleValuedVnlCostFunctionAdaptor::m_CachedDerivative

mutableprivate

Definition at line 158 of file itkMultipleValuedVnlCostFunctionAdaptor.h.

m_CachedValue

MeasureType itk::MultipleValuedVnlCostFunctionAdaptor::m_CachedValue

mutableprivate

Definition at line 157 of file itkMultipleValuedVnlCostFunctionAdaptor.h.

m_CostFunction

MultipleValuedCostFunction::Pointer itk::MultipleValuedVnlCostFunctionAdaptor::m_CostFunction

private

Definition at line 149 of file itkMultipleValuedVnlCostFunctionAdaptor.h.

m_InverseScales

ScalesType itk::MultipleValuedVnlCostFunctionAdaptor::m_InverseScales

private

Definition at line 154 of file itkMultipleValuedVnlCostFunctionAdaptor.h.

m_Reporter

Object::Pointer itk::MultipleValuedVnlCostFunctionAdaptor::m_Reporter

private

Definition at line 155 of file itkMultipleValuedVnlCostFunctionAdaptor.h.

m_ScalesInitialized

bool itk::MultipleValuedVnlCostFunctionAdaptor::m_ScalesInitialized

private

Definition at line 153 of file itkMultipleValuedVnlCostFunctionAdaptor.h.

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

• itkMultipleValuedVnlCostFunctionAdaptor.h