#include <elxConjugateGradient.h>

Detailed Description

template<typename TElastix>
class elastix::ConjugateGradient< TElastix >

An optimizer based on the itk::GenericConjugateGradientOptimizer.

A ConjugateGradient optimizer, using the itk::MoreThuenteLineSearchOptimizer. Different conjugate gradient methods can be selected with this optimizer.

This optimizer support the NewSamplesEveryIteration option. It requests new samples for the computation of each search direction (not during the line search). Actually this makes no sense for a conjugate gradient optimizer. So, think twice before using the NewSamplesEveryIteration option.

The parameters used in this class are:

Parameters

Optimizer: Select this optimizer as follows:
(Optimizer "ConjugateGradient")

GenerateLineSearchIterations: Whether line search iteration should be counted as elastix-iterations.
example: (GenerateLineSearchIterations "true")
Can only be specified for all resolutions at once.
Default value: "false".

MaximumNumberOfIterations: The maximum number of iterations in each resolution.
example: (MaximumNumberOfIterations 100 100 50)
Default value: 100.

MaximumNumberOfLineSearchIterations: The maximum number of iterations in each resolution.
example: (MaximumNumberOfIterations 10 10 5)
Default value: 10.

StepLength: Set the length of the initial step tried by the itk::MoreThuenteLineSearchOptimizer.
example: (StepLength 2.0 1.0 0.5)
Default value: 1.0.

LineSearchValueTolerance: Determine the Wolfe conditions that the itk::MoreThuenteLineSearchOptimizer tries to satisfy.
example: (LineSearchValueTolerance 0.0001 0.0001 0.0001)
Default value: 0.0001.

LineSearchGradientTolerance: Determine the Wolfe conditions that the itk::MoreThuenteLineSearchOptimizer tries to satisfy.
example: (LineSearchGradientTolerance 0.9 0.9 0.9)
Default value: 0.9.

ValueTolerance: Stopping criterion. See the documentation of the itk::GenericConjugateGradientOptimizer for more information.
example: (ValueTolerance 0.001 0.0001 0.000001)
Default value: 0.00001.

GradientMagnitudeTolerance: Stopping criterion. See the documentation of the itk::GenericConjugateGradientOptimizer for more information.
example: (GradientMagnitudeTolerance 0.001 0.0001 0.000001)
Default value: 0.000001.

ConjugateGradientType: a string that defines how 'beta' is computed in each resolution. The following methods are implemented: "SteepestDescent", "FletcherReeves", "PolakRibiere", "DaiYuan", "HestenesStiefel", and "DaiYuanHestenesStiefel". "SteepestDescent" simply sets beta=0. See the source code of the GenericConjugateGradientOptimizer for more information.
example: (ConjugateGradientType "FletcherReeves" "PolakRibiere")
Default value: "DaiYuanHestenesStiefel".

StopIfWolfeNotSatisfied: Whether to stop the optimisation if in one iteration the Wolfe conditions can not be satisfied by the itk::MoreThuenteLineSearchOptimizer.
In general it is wise to do so.
example: (StopIfWolfeNotSatisfied "true" "false")
Default value: "true".

Definition at line 91 of file elxConjugateGradient.h.

Inheritance diagram for elastix::ConjugateGradient< TElastix >:

Public Types
using	ConstPointer = itk::SmartPointer<const Self>
using	EventPassThroughPointer = typename EventPassThroughType::Pointer
using	EventPassThroughType = itk::ReceptorMemberCommand<Self>
using	ITKBaseType = typename Superclass2::ITKBaseType
using	LineOptimizerPointer = LineOptimizerType::Pointer
using	LineOptimizerType = itk::MoreThuenteLineSearchOptimizer
using	Pointer = itk::SmartPointer<Self>
using	Self = ConjugateGradient
enum class	StopConditionType
using	Superclass1 = GenericConjugateGradientOptimizer
using	Superclass2 = OptimizerBase<TElastix>
Public Types inherited from itk::GenericConjugateGradientOptimizer
using	BetaDefinitionMapType = std::map<BetaDefinitionType, ComputeBetaFunctionType>
using	BetaDefinitionType = std::string
using	ComputeBetaFunctionType
using	ConstPointer = SmartPointer<const Self>
using	LineSearchOptimizerPointer = LineSearchOptimizerType::Pointer
using	LineSearchOptimizerType = LineSearchOptimizer
using	Pointer = SmartPointer<Self>
using	ScaledCostFunctionType
using	ScalesType
using	Self = GenericConjugateGradientOptimizer
enum class	StopConditionType : unsigned int { MetricError , LineSearchError , MaximumNumberOfIterations , GradientMagnitudeTolerance , ValueTolerance , InfiniteBeta , Unknown }
using	Superclass = ScaledSingleValuedNonLinearOptimizer
Public Types inherited from itk::ScaledSingleValuedNonLinearOptimizer
using	ConstPointer = SmartPointer<const Self>
using	Pointer = SmartPointer<Self>
using	ScaledCostFunctionPointer = ScaledCostFunctionType::Pointer
using	ScaledCostFunctionType = ScaledSingleValuedCostFunction
using	ScalesType = NonLinearOptimizer::ScalesType
using	Self = ScaledSingleValuedNonLinearOptimizer
using	Superclass = SingleValuedNonLinearOptimizer
Public Types inherited from elastix::OptimizerBase< TElastix >
using	ElastixType
using	ITKBaseType = itk::Optimizer
using	ParametersType = typename ITKBaseType::ParametersType
using	RegistrationType
using	Self = OptimizerBase
using	Superclass = BaseComponentSE<TElastix>
Public Types inherited from elastix::BaseComponentSE< TElastix >
using	ElastixType = TElastix
using	RegistrationType = typename ElastixType::RegistrationBaseType
using	Self = BaseComponentSE
using	Superclass = BaseComponent

Public Member Functions
void	AfterEachIteration () override
void	AfterEachResolution () override
void	AfterRegistration () override
void	BeforeEachResolution () override
void	BeforeRegistration () override
	elxClassNameMacro ("ConjugateGradient")
virtual bool	GetStartLineSearch () const
	ITK_DISALLOW_COPY_AND_MOVE (ConjugateGradient)
	itkOverrideGetNameOfClassMacro (ConjugateGradient)
void	StartOptimization () override
Public Member Functions inherited from itk::GenericConjugateGradientOptimizer
virtual const BetaDefinitionType &	GetBetaDefinition ()
virtual const DerivativeType &	GetCurrentGradient ()
virtual unsigned long	GetCurrentIteration () const
virtual double	GetCurrentStepLength () const
virtual MeasureType	GetCurrentValue () const
virtual double	GetGradientMagnitudeTolerance () const
virtual bool	GetInLineSearch () const
virtual unsigned long	GetMaximumNumberOfIterations () const
virtual unsigned long	GetMaxNrOfItWithoutImprovement () const
virtual const StopConditionType &	GetStopCondition ()
virtual double	GetValueTolerance () const
	ITK_DISALLOW_COPY_AND_MOVE (GenericConjugateGradientOptimizer)
	itkGetModifiableObjectMacro (LineSearchOptimizer, LineSearchOptimizerType)
	itkOverrideGetNameOfClassMacro (GenericConjugateGradientOptimizer)
virtual void	ResumeOptimization ()
void	SetBetaDefinition (const BetaDefinitionType &arg)
virtual void	SetGradientMagnitudeTolerance (double _arg)
virtual void	SetLineSearchOptimizer (LineSearchOptimizerType *_arg)
virtual void	SetMaximumNumberOfIterations (unsigned long _arg)
virtual void	SetMaxNrOfItWithoutImprovement (unsigned long arg)
virtual void	SetValueTolerance (double _arg)
void	StartOptimization () override
virtual void	StopOptimization ()
Public Member Functions inherited from itk::ScaledSingleValuedNonLinearOptimizer
const ParametersType &	GetCurrentPosition () const override
virtual bool	GetMaximize () const
virtual const ScaledCostFunctionType *	GetScaledCostFunction ()
virtual const ParametersType &	GetScaledCurrentPosition ()
bool	GetUseScales () const
virtual void	InitializeScales ()
	ITK_DISALLOW_COPY_AND_MOVE (ScaledSingleValuedNonLinearOptimizer)
	itkOverrideGetNameOfClassMacro (ScaledSingleValuedNonLinearOptimizer)
virtual void	MaximizeOff ()
virtual void	MaximizeOn ()
void	SetCostFunction (CostFunctionType *costFunction) override
virtual void	SetMaximize (bool _arg)
virtual void	SetUseScales (bool arg)
Public Member Functions inherited from elastix::OptimizerBase< TElastix >
void	AfterRegistrationBase () override
void	BeforeEachResolutionBase () override
ITKBaseType *	GetAsITKBaseType ()
const ITKBaseType *	GetAsITKBaseType () const
	ITK_DISALLOW_COPY_AND_MOVE (OptimizerBase)
	itkOverrideGetNameOfClassMacro (OptimizerBase)
virtual void	SetCurrentPositionPublic (const ParametersType &param)
virtual void	SetSinusScales (double amplitude, double frequency, unsigned long numberOfParameters)
Public Member Functions inherited from elastix::BaseComponentSE< TElastix >
void	AddTargetCellToIterationInfo (const char *const name)
const Configuration *	GetConfiguration () const
ElastixType *	GetElastix () const
auto &	GetIterationInfoAt (const char *const name)
itk::Statistics::MersenneTwisterRandomVariateGenerator &	GetRandomVariateGenerator ()
RegistrationType *	GetRegistration () const
	ITK_DISALLOW_COPY_AND_MOVE (BaseComponentSE)
void	RemoveTargetCellFromIterationInfo (const char *const name)
void	SetConfiguration (const Configuration *_arg)
void	SetElastix (ElastixType *_arg)
Public Member Functions inherited from elastix::BaseComponent
virtual void	AfterEachIterationBase ()
virtual void	AfterEachResolutionBase ()
virtual int	BeforeAll ()
virtual int	BeforeAllBase ()
virtual void	BeforeRegistrationBase ()
virtual const char *	elxGetClassName () const
const char *	GetComponentLabel () const
	ITK_DISALLOW_COPY_AND_MOVE (BaseComponent)
	itkVirtualGetNameOfClassMacro (BaseComponent)
void	SetComponentLabel (const char *label, unsigned int idx)

Static Public Member Functions
static Pointer	New ()
Static Public Member Functions inherited from itk::GenericConjugateGradientOptimizer
static Pointer	New ()
Static Public Member Functions inherited from itk::ScaledSingleValuedNonLinearOptimizer
static Pointer	New ()
Static Public Member Functions inherited from elastix::BaseComponent
template<typename TBaseComponent>
static auto	AsITKBaseType (TBaseComponent *const baseComponent) -> decltype(baseComponent->GetAsITKBaseType())
static void	InitializeElastixExecutable ()
static bool	IsElastixLibrary ()

Protected Member Functions
	ConjugateGradient ()
virtual std::string	DeterminePhase () const
virtual std::string	GetLineSearchStopCondition () const
void	LineSearch (const ParametersType searchDir, double &step, ParametersType &x, MeasureType &f, DerivativeType &g) override
bool	TestConvergence (bool firstLineSearchDone) override
	~ConjugateGradient () override=default
Protected Member Functions inherited from itk::GenericConjugateGradientOptimizer
void	AddBetaDefinition (const BetaDefinitionType &name, ComputeBetaFunctionType function)
virtual double	ComputeBeta (const DerivativeType &previousGradient, const DerivativeType &gradient, const ParametersType &previousSearchDir)
double	ComputeBetaDY (const DerivativeType &previousGradient, const DerivativeType &gradient, const ParametersType &previousSearchDir)
double	ComputeBetaDYHS (const DerivativeType &previousGradient, const DerivativeType &gradient, const ParametersType &previousSearchDir)
double	ComputeBetaFR (const DerivativeType &previousGradient, const DerivativeType &gradient, const ParametersType &previousSearchDir)
double	ComputeBetaHS (const DerivativeType &previousGradient, const DerivativeType &gradient, const ParametersType &previousSearchDir)
double	ComputeBetaPR (const DerivativeType &previousGradient, const DerivativeType &gradient, const ParametersType &previousSearchDir)
double	ComputeBetaSD (const DerivativeType &previousGradient, const DerivativeType &gradient, const ParametersType &previousSearchDir)
virtual void	ComputeSearchDirection (const DerivativeType &previousGradient, const DerivativeType &gradient, ParametersType &searchDir)
	GenericConjugateGradientOptimizer ()
virtual void	LineSearch (const ParametersType searchDir, double &step, ParametersType &x, MeasureType &f, DerivativeType &g)
void	PrintSelf (std::ostream &os, Indent indent) const override
virtual void	SetInLineSearch (bool _arg)
	~GenericConjugateGradientOptimizer () override=default
Protected Member Functions inherited from itk::ScaledSingleValuedNonLinearOptimizer
virtual void	GetScaledDerivative (const ParametersType &parameters, DerivativeType &derivative) const
virtual MeasureType	GetScaledValue (const ParametersType &parameters) const
virtual void	GetScaledValueAndDerivative (const ParametersType &parameters, MeasureType &value, DerivativeType &derivative) const
void	PrintSelf (std::ostream &os, Indent indent) const override
	ScaledSingleValuedNonLinearOptimizer ()
void	SetCurrentPosition (const ParametersType &param) override
virtual void	SetScaledCurrentPosition (const ParametersType &parameters)
	~ScaledSingleValuedNonLinearOptimizer () override=default
Protected Member Functions inherited from elastix::OptimizerBase< TElastix >
virtual bool	GetNewSamplesEveryIteration () const
	OptimizerBase ()=default
virtual void	SelectNewSamples ()
	~OptimizerBase () override=default
Protected Member Functions inherited from elastix::BaseComponentSE< TElastix >
	BaseComponentSE ()=default
	~BaseComponentSE () override=default
Protected Member Functions inherited from elastix::BaseComponent
	BaseComponent ()=default
virtual	~BaseComponent ()=default

Protected Attributes
LineOptimizerPointer	m_LineOptimizer
Protected Attributes inherited from itk::GenericConjugateGradientOptimizer
BetaDefinitionType	m_BetaDefinition {}
BetaDefinitionMapType	m_BetaDefinitionMap {}
DerivativeType	m_CurrentGradient {}
unsigned long	m_CurrentIteration { 0 }
double	m_CurrentStepLength { 0.0 }
MeasureType	m_CurrentValue { 0.0 }
bool	m_InLineSearch { false }
bool	m_PreviousGradientAndSearchDirValid { false }
bool	m_Stop { false }
StopConditionType	m_StopCondition { StopConditionType::Unknown }
bool	m_UseDefaultMaxNrOfItWithoutImprovement { true }
Protected Attributes inherited from itk::ScaledSingleValuedNonLinearOptimizer
ScaledCostFunctionPointer	m_ScaledCostFunction {}
ParametersType	m_ScaledCurrentPosition {}
Protected Attributes inherited from elastix::BaseComponentSE< TElastix >
Configuration::ConstPointer	m_Configuration {}
itk::WeakPointer< TElastix >	m_Elastix {}
RegistrationType *	m_Registration {}

Private Member Functions
void	InvokeIterationEvent (const itk::EventObject &event)

Private Attributes
	elxOverrideGetSelfMacro
EventPassThroughPointer	m_EventPasser
bool	m_GenerateLineSearchIterations
double	m_SearchDirectionMagnitude
bool	m_StartLineSearch
bool	m_StopIfWolfeNotSatisfied
bool	m_WolfeIsStopCondition

Additional Inherited Members
Protected Types inherited from elastix::OptimizerBase< TElastix >
using	SettingsVectorType = typename std::vector<SettingsType>
Static Protected Member Functions inherited from elastix::OptimizerBase< TElastix >
static void	PrintSettingsVector (const SettingsVectorType &settings)

Member Typedef Documentation

◆ ConstPointer

template<typename TElastix>

using elastix::ConjugateGradient< TElastix >::ConstPointer = itk::SmartPointer<const Self>

Definition at line 103 of file elxConjugateGradient.h.

◆ EventPassThroughPointer

template<typename TElastix>

using elastix::ConjugateGradient< TElastix >::EventPassThroughPointer = typename EventPassThroughType::Pointer

Definition at line 134 of file elxConjugateGradient.h.

◆ EventPassThroughType

template<typename TElastix>

using elastix::ConjugateGradient< TElastix >::EventPassThroughType = itk::ReceptorMemberCommand<Self>

Definition at line 133 of file elxConjugateGradient.h.

◆ ITKBaseType

template<typename TElastix>

using elastix::ConjugateGradient< TElastix >::ITKBaseType = typename Superclass2::ITKBaseType

Definition at line 128 of file elxConjugateGradient.h.

◆ LineOptimizerPointer

template<typename TElastix>

using elastix::ConjugateGradient< TElastix >::LineOptimizerPointer = LineOptimizerType::Pointer

Definition at line 132 of file elxConjugateGradient.h.

◆ LineOptimizerType

template<typename TElastix>

using elastix::ConjugateGradient< TElastix >::LineOptimizerType = itk::MoreThuenteLineSearchOptimizer

Extra typedefs

Definition at line 131 of file elxConjugateGradient.h.

◆ Pointer

template<typename TElastix>

using elastix::ConjugateGradient< TElastix >::Pointer = itk::SmartPointer<Self>

Definition at line 102 of file elxConjugateGradient.h.

◆ Self

template<typename TElastix>

using elastix::ConjugateGradient< TElastix >::Self = ConjugateGradient

Standard ITK.

Definition at line 99 of file elxConjugateGradient.h.

◆ Superclass1

template<typename TElastix>

using elastix::ConjugateGradient< TElastix >::Superclass1 = GenericConjugateGradientOptimizer

Definition at line 100 of file elxConjugateGradient.h.

◆ Superclass2

template<typename TElastix>

using elastix::ConjugateGradient< TElastix >::Superclass2 = OptimizerBase<TElastix>

Definition at line 101 of file elxConjugateGradient.h.

Member Enumeration Documentation

◆ StopConditionType

template<typename TElastix>

enum class itk::GenericConjugateGradientOptimizer::StopConditionType : unsigned int

strong

Definition at line 71 of file itkGenericConjugateGradientOptimizer.h.

Constructor & Destructor Documentation

◆ ConjugateGradient()

template<typename TElastix>

elastix::ConjugateGradient< TElastix >::ConjugateGradient ( )

protected

◆ ~ConjugateGradient()

template<typename TElastix>

elastix::ConjugateGradient< TElastix >::~ConjugateGradient ( )

overrideprotecteddefault

Member Function Documentation

◆ AfterEachIteration()

template<typename TElastix>

void elastix::ConjugateGradient< TElastix >::AfterEachIteration ( )

overridevirtual

Reimplemented from elastix::BaseComponent.

◆ AfterEachResolution()

template<typename TElastix>

void elastix::ConjugateGradient< TElastix >::AfterEachResolution ( )

overridevirtual

Reimplemented from elastix::BaseComponent.

◆ AfterRegistration()

template<typename TElastix>

void elastix::ConjugateGradient< TElastix >::AfterRegistration ( )

overridevirtual

Reimplemented from elastix::BaseComponent.

◆ BeforeEachResolution()

template<typename TElastix>

void elastix::ConjugateGradient< TElastix >::BeforeEachResolution ( )

overridevirtual

Reimplemented from elastix::BaseComponent.

◆ BeforeRegistration()

template<typename TElastix>

void elastix::ConjugateGradient< TElastix >::BeforeRegistration ( )

overridevirtual

Methods to set parameters and print output at different stages in the registration process.

Reimplemented from elastix::BaseComponent.

◆ DeterminePhase()

template<typename TElastix>

virtual std::string elastix::ConjugateGradient< TElastix >::DeterminePhase ( ) const

protectedvirtual

Generate a string, representing the phase of optimisation (line search, main)

◆ elxClassNameMacro()

template<typename TElastix>

elastix::ConjugateGradient< TElastix >::elxClassNameMacro ( "ConjugateGradient< TElastix >" )

Name of this class. Use this name in the parameter file to select this specific optimizer.
example: (Optimizer "ConjugateGradient")

◆ GetLineSearchStopCondition()

template<typename TElastix>

virtual std::string elastix::ConjugateGradient< TElastix >::GetLineSearchStopCondition ( ) const

protectedvirtual

Convert the line search stop condition to a string

◆ GetStartLineSearch()

template<typename TElastix>

virtual bool elastix::ConjugateGradient< TElastix >::GetStartLineSearch ( ) const

virtual

◆ InvokeIterationEvent()

template<typename TElastix>

void elastix::ConjugateGradient< TElastix >::InvokeIterationEvent ( const itk::EventObject & event )

private

◆ ITK_DISALLOW_COPY_AND_MOVE()

template<typename TElastix>

elastix::ConjugateGradient< TElastix >::ITK_DISALLOW_COPY_AND_MOVE ( ConjugateGradient< TElastix > )

◆ itkOverrideGetNameOfClassMacro()

template<typename TElastix>

elastix::ConjugateGradient< TElastix >::itkOverrideGetNameOfClassMacro ( ConjugateGradient< TElastix > )

Run-time type information (and related methods).

◆ LineSearch()

template<typename TElastix>

void elastix::ConjugateGradient< TElastix >::LineSearch	(	const ParametersType	searchDir,
		double &	step,
		ParametersType &	x,
		MeasureType &	f,
		DerivativeType &	g )

overrideprotected

Call the superclass' implementation. If an itk::ExceptionObject is caught, because the line search optimizer tried a too big step, the exception is printed, but ignored further. The optimizer stops, but elastix just goes on to the next resolution.

◆ New()

template<typename TElastix>

Pointer elastix::ConjugateGradient< TElastix >::New ( )

static

Method for creation through the object factory.

◆ StartOptimization()

template<typename TElastix>

void elastix::ConjugateGradient< TElastix >::StartOptimization ( )

override

Check if any scales are set, and set the UseScales flag on or off; after that call the superclass' implementation

◆ TestConvergence()

template<typename TElastix>

bool elastix::ConjugateGradient< TElastix >::TestConvergence ( bool firstLineSearchDone )

overrideprotectedvirtual

Reimplement the superclass. Calls the superclass' implementation and checks if the MoreThuente line search routine has stopped with Wolfe conditions satisfied.

Reimplemented from itk::GenericConjugateGradientOptimizer.

Member Data Documentation

◆ elxOverrideGetSelfMacro

template<typename TElastix>

elastix::ConjugateGradient< TElastix >::elxOverrideGetSelfMacro

private

Definition at line 190 of file elxConjugateGradient.h.

◆ m_EventPasser

template<typename TElastix>

EventPassThroughPointer elastix::ConjugateGradient< TElastix >::m_EventPasser

private

Definition at line 195 of file elxConjugateGradient.h.

◆ m_GenerateLineSearchIterations

template<typename TElastix>

bool elastix::ConjugateGradient< TElastix >::m_GenerateLineSearchIterations

private

Definition at line 198 of file elxConjugateGradient.h.

◆ m_LineOptimizer

template<typename TElastix>

LineOptimizerPointer elastix::ConjugateGradient< TElastix >::m_LineOptimizer

protected

Definition at line 164 of file elxConjugateGradient.h.

◆ m_SearchDirectionMagnitude

template<typename TElastix>

double elastix::ConjugateGradient< TElastix >::m_SearchDirectionMagnitude

private

Definition at line 196 of file elxConjugateGradient.h.

◆ m_StartLineSearch

template<typename TElastix>

bool elastix::ConjugateGradient< TElastix >::m_StartLineSearch

private

Definition at line 197 of file elxConjugateGradient.h.

◆ m_StopIfWolfeNotSatisfied

template<typename TElastix>

bool elastix::ConjugateGradient< TElastix >::m_StopIfWolfeNotSatisfied

private

Definition at line 199 of file elxConjugateGradient.h.

◆ m_WolfeIsStopCondition

template<typename TElastix>

bool elastix::ConjugateGradient< TElastix >::m_WolfeIsStopCondition

private

Definition at line 200 of file elxConjugateGradient.h.

Detailed Description

Public Types

Public Member Functions

Static Public Member Functions

Protected Member Functions

Protected Attributes

Private Member Functions

Private Attributes

Additional Inherited Members

Member Typedef Documentation

◆ ConstPointer

◆ EventPassThroughPointer

◆ EventPassThroughType

◆ ITKBaseType

◆ LineOptimizerPointer

◆ LineOptimizerType

◆ Pointer

◆ Self

◆ Superclass1

◆ Superclass2

Member Enumeration Documentation

◆ StopConditionType

Constructor & Destructor Documentation

◆ ConjugateGradient()

◆ ~ConjugateGradient()

Member Function Documentation

◆ AfterEachIteration()

◆ AfterEachResolution()

◆ AfterRegistration()

◆ BeforeEachResolution()

◆ BeforeRegistration()

◆ DeterminePhase()

◆ elxClassNameMacro()

◆ GetLineSearchStopCondition()

◆ GetStartLineSearch()

◆ InvokeIterationEvent()

◆ ITK_DISALLOW_COPY_AND_MOVE()

◆ itkOverrideGetNameOfClassMacro()

◆ LineSearch()

◆ New()

◆ StartOptimization()

◆ TestConvergence()

Member Data Documentation

◆ elxOverrideGetSelfMacro

◆ m_EventPasser

◆ m_GenerateLineSearchIterations

◆ m_LineOptimizer

◆ m_SearchDirectionMagnitude

◆ m_StartLineSearch

◆ m_StopIfWolfeNotSatisfied

◆ m_WolfeIsStopCondition