#include <elxConjugateGradient.h>

Detailed Description

template<class 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 >:

[legend]

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 const char *	GetClassName () const

virtual bool	GetStartLineSearch () const

	ITK_DISALLOW_COPY_AND_MOVE (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)

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)

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)

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)

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)

	itkTypeMacroNoParent (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<class TElastix >

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

Definition at line 103 of file elxConjugateGradient.h.

◆ EventPassThroughPointer

template<class TElastix >

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

Definition at line 134 of file elxConjugateGradient.h.

◆ EventPassThroughType

template<class TElastix >

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

Definition at line 133 of file elxConjugateGradient.h.

◆ ITKBaseType

template<class TElastix >

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

Definition at line 128 of file elxConjugateGradient.h.

◆ LineOptimizerPointer

template<class TElastix >

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

Definition at line 132 of file elxConjugateGradient.h.

◆ LineOptimizerType

template<class TElastix >

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

Extra typedefs

Definition at line 131 of file elxConjugateGradient.h.

◆ Pointer

template<class TElastix >

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

Definition at line 102 of file elxConjugateGradient.h.

◆ Self

template<class TElastix >

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

Standard ITK.

Definition at line 99 of file elxConjugateGradient.h.

◆ Superclass1

template<class TElastix >

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

Definition at line 100 of file elxConjugateGradient.h.

◆ Superclass2

template<class TElastix >

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

Definition at line 101 of file elxConjugateGradient.h.

Member Enumeration Documentation

◆ StopConditionType

template<class TElastix >

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

strong

Definition at line 71 of file itkGenericConjugateGradientOptimizer.h.

Constructor & Destructor Documentation

◆ ConjugateGradient()

template<class TElastix >

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

protected

◆ ~ConjugateGradient()

template<class TElastix >

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

overrideprotecteddefault

Member Function Documentation

◆ AfterEachIteration()

template<class TElastix >

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

overridevirtual

Reimplemented from elastix::BaseComponent.

◆ AfterEachResolution()

template<class TElastix >

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

overridevirtual

Reimplemented from elastix::BaseComponent.

◆ AfterRegistration()

template<class TElastix >

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

overridevirtual

Reimplemented from elastix::BaseComponent.

◆ BeforeEachResolution()

template<class TElastix >

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

overridevirtual

Reimplemented from elastix::BaseComponent.

◆ BeforeRegistration()

template<class 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<class TElastix >

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

protectedvirtual

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

◆ elxClassNameMacro()

template<class 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")

◆ GetClassName()

template<class TElastix >

virtual const char * elastix::ConjugateGradient< TElastix >::GetClassName ( ) const

virtual

Run-time type information (and related methods).

Reimplemented from itk::GenericConjugateGradientOptimizer.

◆ GetLineSearchStopCondition()

template<class TElastix >

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

protectedvirtual

Convert the line search stop condition to a string

◆ GetStartLineSearch()

template<class TElastix >

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

virtual

◆ InvokeIterationEvent()

template<class TElastix >

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

private

◆ ITK_DISALLOW_COPY_AND_MOVE()

template<class TElastix >

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

◆ LineSearch()

template<class 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<class TElastix >

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

static

Method for creation through the object factory.

◆ StartOptimization()

template<class 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<class 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.

Field Documentation

◆ elxOverrideGetSelfMacro

template<class TElastix >

elastix::ConjugateGradient< TElastix >::elxOverrideGetSelfMacro

private

Definition at line 190 of file elxConjugateGradient.h.

◆ m_EventPasser

template<class TElastix >

EventPassThroughPointer elastix::ConjugateGradient< TElastix >::m_EventPasser

private

Definition at line 195 of file elxConjugateGradient.h.

◆ m_GenerateLineSearchIterations

template<class TElastix >

bool elastix::ConjugateGradient< TElastix >::m_GenerateLineSearchIterations

private

Definition at line 198 of file elxConjugateGradient.h.

◆ m_LineOptimizer

template<class TElastix >

LineOptimizerPointer elastix::ConjugateGradient< TElastix >::m_LineOptimizer

protected

Definition at line 164 of file elxConjugateGradient.h.

◆ m_SearchDirectionMagnitude

template<class TElastix >

double elastix::ConjugateGradient< TElastix >::m_SearchDirectionMagnitude

private

Definition at line 196 of file elxConjugateGradient.h.

◆ m_StartLineSearch

template<class TElastix >

bool elastix::ConjugateGradient< TElastix >::m_StartLineSearch

private

Definition at line 197 of file elxConjugateGradient.h.

◆ m_StopIfWolfeNotSatisfied

template<class TElastix >

bool elastix::ConjugateGradient< TElastix >::m_StopIfWolfeNotSatisfied

private

Definition at line 199 of file elxConjugateGradient.h.

◆ m_WolfeIsStopCondition

template<class 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()

◆ GetClassName()

◆ GetLineSearchStopCondition()

◆ GetStartLineSearch()

◆ InvokeIterationEvent()

◆ ITK_DISALLOW_COPY_AND_MOVE()

◆ LineSearch()

◆ New()

◆ StartOptimization()

◆ TestConvergence()

Field Documentation

◆ elxOverrideGetSelfMacro

◆ m_EventPasser

◆ m_GenerateLineSearchIterations

◆ m_LineOptimizer

◆ m_SearchDirectionMagnitude

◆ m_StartLineSearch

◆ m_StopIfWolfeNotSatisfied

◆ m_WolfeIsStopCondition