itk::ConjugateGradientLineSearchOptimizerv4Template< TInternalComputationValueType > Class Template Reference

#include <itkConjugateGradientLineSearchOptimizerv4.h>

Detailed Description

template<typename TInternalComputationValueType>
class itk::ConjugateGradientLineSearchOptimizerv4Template< TInternalComputationValueType >

Conjugate gradient descent optimizer with a golden section line search for nonlinear optimization.

ConjugateGradientLineSearchOptimizer implements a conjugate gradient descent optimizer that is followed by a line search to find the best value for the learning rate. At each iteration the current position is updated according to

\[ p_{n+1} = p_n + \mbox{learningRateByGoldenSectionLineSearch} \, d \]

where d is defined as the Polak-Ribiere conjugate gradient.

Options are identical to the superclass's.

Examples

Examples/RegistrationITKv4/MultiStageImageRegistration1.cxx, and Examples/RegistrationITKv4/MultiStageImageRegistration2.cxx.

Definition at line 48 of file itkConjugateGradientLineSearchOptimizerv4.h.

Inheritance diagram for itk::ConjugateGradientLineSearchOptimizerv4Template< TInternalComputationValueType >:

Collaboration diagram for itk::ConjugateGradientLineSearchOptimizerv4Template< TInternalComputationValueType >:

Public Types
using	ConstPointer = SmartPointer<const Self>
using	ConvergenceMonitoringType = itk::Function::WindowConvergenceMonitoringFunction<TInternalComputationValueType>
using	InternalComputationValueType = TInternalComputationValueType
using	Pointer = SmartPointer<Self>
using	Self = ConjugateGradientLineSearchOptimizerv4Template
using	Superclass = GradientDescentLineSearchOptimizerv4Template<TInternalComputationValueType>
Public Types inherited from itk::GradientDescentLineSearchOptimizerv4Template< TInternalComputationValueType >
using	ConstPointer = SmartPointer<const Self>
using	ConvergenceMonitoringType = itk::Function::WindowConvergenceMonitoringFunction<TInternalComputationValueType>
using	InternalComputationValueType = TInternalComputationValueType
using	Pointer = SmartPointer<Self>
using	Self = GradientDescentLineSearchOptimizerv4Template
using	Superclass = GradientDescentOptimizerv4Template<TInternalComputationValueType>
Public Types inherited from itk::GradientDescentOptimizerv4Template< TInternalComputationValueType >
using	ConstPointer = SmartPointer<const Self>
using	DerivativeType
using	IndexRangeType
using	InternalComputationValueType = TInternalComputationValueType
using	MeasureType
using	ParametersType
using	Pointer = SmartPointer<Self>
using	ScalesType
using	Self = GradientDescentOptimizerv4Template
using	Superclass = GradientDescentOptimizerBasev4Template<TInternalComputationValueType>
Public Types inherited from itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >
using	ConstPointer = SmartPointer<const Self>
using	ConvergenceMonitoringType = itk::Function::WindowConvergenceMonitoringFunction<TInternalComputationValueType>
using	DerivativeType
using	IndexRangeType = ThreadedIndexedContainerPartitioner::IndexRangeType
using	InternalComputationValueType = TInternalComputationValueType
using	MeasureType
using	MetricType
using	MetricTypePointer = typename MetricType::Pointer
using	ParametersType
using	Pointer = SmartPointer<Self>
using	ScalesType
using	Self = GradientDescentOptimizerBasev4Template
using	StopConditionDescriptionType
using	StopConditionReturnStringType
using	Superclass = ObjectToObjectOptimizerBaseTemplate<TInternalComputationValueType>
Public Types inherited from itk::ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >
using	ConstPointer
using	ConstPointer
using	DerivativeType
using	DerivativeType
using	MeasureType
using	MeasureType
using	MetricType
using	MetricType
using	MetricTypePointer
using	MetricTypePointer
using	NumberOfParametersType
using	NumberOfParametersType
using	ParametersType
using	ParametersType
using	Pointer
using	Pointer
using	ScalesEstimatorType
using	ScalesEstimatorType
using	ScalesType
using	ScalesType
using	Self
using	Self
using	StopConditionDescriptionType
using	StopConditionDescriptionType
using	StopConditionReturnStringType
using	StopConditionReturnStringType
using	Superclass
using	Superclass
Public Types inherited from itk::Object
using	ConstPointer = SmartPointer<const Self>
using	Pointer = SmartPointer<Self>
using	Self = Object
using	Superclass = LightObject
Public Types inherited from itk::LightObject
using	ConstPointer = SmartPointer<const Self>
using	Pointer = SmartPointer<Self>
using	Self = LightObject

Public Member Functions
virtual::itk::LightObject::Pointer	CreateAnother () const
virtual const TInternalComputationValueType &	GetInitialLearningRate () const
virtual const char *	GetNameOfClass () const
virtual void	SetInitialLearningRate (TInternalComputationValueType _arg)
void	SetLearningRate (TInternalComputationValueType learningRate) override
void	StartOptimization (bool doOnlyInitialization=false) override
Public Member Functions inherited from itk::GradientDescentLineSearchOptimizerv4Template< TInternalComputationValueType >
virtual::itk::LightObject::Pointer	CreateAnother () const
virtual void	SetEpsilon (TInternalComputationValueType _arg)
virtual TInternalComputationValueType	GetEpsilon ()
virtual void	SetLowerLimit (TInternalComputationValueType _arg)
virtual TInternalComputationValueType	GetLowerLimit ()
virtual void	SetUpperLimit (TInternalComputationValueType _arg)
virtual TInternalComputationValueType	GetUpperLimit ()
virtual void	SetMaximumLineSearchIterations (unsigned int _arg)
virtual unsigned int	GetMaximumLineSearchIterations ()
Public Member Functions inherited from itk::GradientDescentOptimizerv4Template< TInternalComputationValueType >
virtual::itk::LightObject::Pointer	CreateAnother () const
virtual void	EstimateLearningRate ()
	itkVirtualGetConstReferenceMacro (ConvergenceValue, TInternalComputationValueType)
	itkVirtualSetMacro (ConvergenceWindowSize, SizeValueType)
	itkVirtualSetMacro (MinimumConvergenceValue, TInternalComputationValueType)
void	ResumeOptimization () override
void	StartOptimization (bool doOnlyInitialization=false) override
void	StopOptimization () override
virtual const TInternalComputationValueType &	GetLearningRate () const
virtual void	SetMaximumStepSizeInPhysicalUnits (TInternalComputationValueType _arg)
virtual const TInternalComputationValueType &	GetMaximumStepSizeInPhysicalUnits () const
virtual void	SetDoEstimateLearningRateAtEachIteration (bool _arg)
virtual const bool &	GetDoEstimateLearningRateAtEachIteration () const
virtual void	DoEstimateLearningRateAtEachIterationOn ()
virtual void	DoEstimateLearningRateAtEachIterationOff ()
virtual void	SetDoEstimateLearningRateOnce (bool _arg)
virtual const bool &	GetDoEstimateLearningRateOnce () const
virtual void	DoEstimateLearningRateOnceOn ()
virtual void	DoEstimateLearningRateOnceOff ()
virtual void	SetReturnBestParametersAndValue (bool _arg)
virtual const bool &	GetReturnBestParametersAndValue () const
virtual void	ReturnBestParametersAndValueOn ()
virtual void	ReturnBestParametersAndValueOff ()
Public Member Functions inherited from itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >
virtual const DerivativeType &	GetGradient () const
StopConditionReturnStringType	GetStopConditionDescription () const override
	itkVirtualGetConstReferenceMacro (StopCondition, StopConditionObjectToObjectOptimizerEnum)
virtual void	ModifyGradientByScales ()
virtual void	ModifyGradientByLearningRate ()
Public Member Functions inherited from itk::ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >
virtual bool	CanUseScales () const
virtual bool	CanUseScales () const
virtual SizeValueType	GetCurrentIteration () const
virtual SizeValueType	GetCurrentIteration () const
virtual const MeasureType &	GetCurrentMetricValue () const
virtual const MeasureType &	GetCurrentMetricValue () const
virtual const ParametersType &	GetCurrentPosition () const
virtual const ParametersType &	GetCurrentPosition () const
virtual const ThreadIdType &	GetNumberOfWorkUnits () const
virtual const ThreadIdType &	GetNumberOfWorkUnits () const
virtual const ScalesType &	GetScales () const
virtual const ScalesType &	GetScales () const
virtual const bool &	GetScalesAreIdentity () const
virtual const bool &	GetScalesAreIdentity () const
bool	GetScalesInitialized () const
bool	GetScalesInitialized () const
virtual const MeasureType &	GetValue () const
virtual const MeasureType &	GetValue () const
virtual const ScalesType &	GetWeights () const
virtual const ScalesType &	GetWeights () const
virtual const bool &	GetWeightsAreIdentity () const
virtual const bool &	GetWeightsAreIdentity () const
	itkVirtualGetConstMacro (NumberOfIterations, SizeValueType)
	itkVirtualGetConstMacro (NumberOfIterations, SizeValueType)
	itkVirtualSetMacro (NumberOfIterations, SizeValueType)
	itkVirtualSetMacro (NumberOfIterations, SizeValueType)
virtual void	SetNumberOfWorkUnits (ThreadIdType number)
virtual void	SetNumberOfWorkUnits (ThreadIdType number)
virtual void	SetScales (const ScalesType &scales)
virtual void	SetScales (const ScalesType &scales)
virtual void	SetScalesEstimator (ScalesEstimatorType *_arg)
virtual void	SetScalesEstimator (ScalesEstimatorType *_arg)
virtual void	SetWeights (ScalesType _arg)
virtual void	SetWeights (ScalesType _arg)
	itkVirtualSetObjectMacro (Metric, MetricType)
virtual MetricType *	GetModifiableMetric ()
virtual const MetricType *	GetMetric () const
	itkVirtualSetObjectMacro (Metric, MetricType)
virtual MetricType *	GetModifiableMetric ()
virtual const MetricType *	GetMetric () const
virtual void	SetDoEstimateScales (bool _arg)
virtual const bool &	GetDoEstimateScales () const
virtual void	DoEstimateScalesOn ()
virtual void	DoEstimateScalesOff ()
virtual void	SetDoEstimateScales (bool _arg)
virtual const bool &	GetDoEstimateScales () const
virtual void	DoEstimateScalesOn ()
virtual void	DoEstimateScalesOff ()
Public Member Functions inherited from itk::Object
unsigned long	AddObserver (const EventObject &event, Command *cmd) const
unsigned long	AddObserver (const EventObject &event, std::function< void(const EventObject &)> function) const
LightObject::Pointer	CreateAnother () const override
virtual void	DebugOff () const
virtual void	DebugOn () const
Command *	GetCommand (unsigned long tag)
bool	GetDebug () const
MetaDataDictionary &	GetMetaDataDictionary ()
const MetaDataDictionary &	GetMetaDataDictionary () const
virtual ModifiedTimeType	GetMTime () const
virtual const TimeStamp &	GetTimeStamp () const
bool	HasObserver (const EventObject &event) const
void	InvokeEvent (const EventObject &)
void	InvokeEvent (const EventObject &) const
virtual void	Modified () const
void	Register () const override
void	RemoveAllObservers ()
void	RemoveObserver (unsigned long tag) const
void	SetDebug (bool debugFlag) const
void	SetReferenceCount (int) override
void	UnRegister () const noexcept override
void	SetMetaDataDictionary (const MetaDataDictionary &rhs)
void	SetMetaDataDictionary (MetaDataDictionary &&rrhs)
virtual void	SetObjectName (std::string _arg)
virtual const std::string &	GetObjectName () const
Public Member Functions inherited from itk::LightObject
Pointer	Clone () const
virtual void	Delete ()
virtual int	GetReferenceCount () const
void	Print (std::ostream &os, Indent indent=0) const

Static Public Member Functions
static Pointer	New ()
Static Public Member Functions inherited from itk::GradientDescentLineSearchOptimizerv4Template< TInternalComputationValueType >
static Pointer	New ()
Static Public Member Functions inherited from itk::GradientDescentOptimizerv4Template< TInternalComputationValueType >
static Pointer	New ()
Static Public Member Functions inherited from itk::Object
static bool	GetGlobalWarningDisplay ()
static void	GlobalWarningDisplayOff ()
static void	GlobalWarningDisplayOn ()
static Pointer	New ()
static void	SetGlobalWarningDisplay (bool val)
Static Public Member Functions inherited from itk::LightObject
static void	BreakOnError ()
static Pointer	New ()

Protected Member Functions
void	AdvanceOneStep () override
	ConjugateGradientLineSearchOptimizerv4Template ()=default
void	PrintSelf (std::ostream &os, Indent indent) const override
	~ConjugateGradientLineSearchOptimizerv4Template () override=default
Protected Member Functions inherited from itk::GradientDescentLineSearchOptimizerv4Template< TInternalComputationValueType >
void	AdvanceOneStep () override
TInternalComputationValueType	GoldenSectionSearch (TInternalComputationValueType a, TInternalComputationValueType b, TInternalComputationValueType c, TInternalComputationValueType metricb=NumericTraits< TInternalComputationValueType >::max())
	GradientDescentLineSearchOptimizerv4Template ()
void	PrintSelf (std::ostream &os, Indent indent) const override
	~GradientDescentLineSearchOptimizerv4Template () override=default
Protected Member Functions inherited from itk::GradientDescentOptimizerv4Template< TInternalComputationValueType >
	GradientDescentOptimizerv4Template ()
void	ModifyGradientByLearningRateOverSubRange (const IndexRangeType &subrange) override
void	ModifyGradientByScalesOverSubRange (const IndexRangeType &subrange) override
void	PrintSelf (std::ostream &os, Indent indent) const override
	~GradientDescentOptimizerv4Template () override=default
Protected Member Functions inherited from itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >
	GradientDescentOptimizerBasev4Template ()
	~GradientDescentOptimizerBasev4Template () override=default
Protected Member Functions inherited from itk::ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >
	ObjectToObjectOptimizerBaseTemplate ()
	ObjectToObjectOptimizerBaseTemplate ()
void	PrintSelf (std::ostream &os, Indent indent) const override
void	PrintSelf (std::ostream &os, Indent indent) const override
	~ObjectToObjectOptimizerBaseTemplate () override
	~ObjectToObjectOptimizerBaseTemplate () override
Protected Member Functions inherited from itk::Object
	Object ()
bool	PrintObservers (std::ostream &os, Indent indent) const
virtual void	SetTimeStamp (const TimeStamp &timeStamp)
	~Object () override
Protected Member Functions inherited from itk::LightObject
virtual LightObject::Pointer	InternalClone () const
	LightObject ()
virtual void	PrintHeader (std::ostream &os, Indent indent) const
virtual void	PrintTrailer (std::ostream &os, Indent indent) const
virtual	~LightObject ()

Private Attributes
DerivativeType	m_ConjugateGradient {}
TInternalComputationValueType	m_InitialLearningRate { 1 }
DerivativeType	m_LastGradient {}

Additional Inherited Members
Protected Attributes inherited from itk::GradientDescentLineSearchOptimizerv4Template< TInternalComputationValueType >
TInternalComputationValueType	m_Epsilon {}
unsigned int	m_LineSearchIterations {}
TInternalComputationValueType	m_LowerLimit {}
unsigned int	m_MaximumLineSearchIterations {}
TInternalComputationValueType	m_Phi {}
TInternalComputationValueType	m_Resphi {}
TInternalComputationValueType	m_UpperLimit {}
Protected Attributes inherited from itk::GradientDescentOptimizerv4Template< TInternalComputationValueType >
ParametersType	m_BestParameters {}
TInternalComputationValueType	m_ConvergenceValue {}
MeasureType	m_CurrentBestValue {}
TInternalComputationValueType	m_LearningRate {}
TInternalComputationValueType	m_MinimumConvergenceValue {}
DerivativeType	m_PreviousGradient {}
bool	m_ReturnBestParametersAndValue { false }
Protected Attributes inherited from itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >
ConvergenceMonitoringType::Pointer	m_ConvergenceMonitoring {}
SizeValueType	m_ConvergenceWindowSize {}
bool	m_DoEstimateLearningRateAtEachIteration {}
bool	m_DoEstimateLearningRateOnce {}
DerivativeType	m_Gradient {}
TInternalComputationValueType	m_MaximumStepSizeInPhysicalUnits {}
DomainThreader< ThreadedIndexedContainerPartitioner, Self >::Pointer	m_ModifyGradientByLearningRateThreader {}
DomainThreader< ThreadedIndexedContainerPartitioner, Self >::Pointer	m_ModifyGradientByScalesThreader {}
bool	m_Stop { false }
StopConditionObjectToObjectOptimizerEnum	m_StopCondition {}
StopConditionDescriptionType	m_StopConditionDescription {}
bool	m_UseConvergenceMonitoring {}
Protected Attributes inherited from itk::ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >
SizeValueType	m_CurrentIteration
SizeValueType	m_CurrentIteration
MeasureType	m_CurrentMetricValue
MeasureType	m_CurrentMetricValue
bool	m_DoEstimateScales
bool	m_DoEstimateScales
MetricTypePointer	m_Metric
MetricTypePointer	m_Metric
SizeValueType	m_NumberOfIterations
SizeValueType	m_NumberOfIterations
ThreadIdType	m_NumberOfWorkUnits
ThreadIdType	m_NumberOfWorkUnits
ScalesType	m_Scales
ScalesType	m_Scales
bool	m_ScalesAreIdentity
bool	m_ScalesAreIdentity
ScalesEstimatorType::Pointer	m_ScalesEstimator
ScalesEstimatorType::Pointer	m_ScalesEstimator
ScalesType	m_Weights
ScalesType	m_Weights
bool	m_WeightsAreIdentity
bool	m_WeightsAreIdentity
Protected Attributes inherited from itk::LightObject
std::atomic< int >	m_ReferenceCount {}

Member Typedef Documentation

ConstPointer

template<typename TInternalComputationValueType>

using itk::ConjugateGradientLineSearchOptimizerv4Template< TInternalComputationValueType >::ConstPointer = SmartPointer<const Self>

Definition at line 58 of file itkConjugateGradientLineSearchOptimizerv4.h.

ConvergenceMonitoringType

template<typename TInternalComputationValueType>

using itk::ConjugateGradientLineSearchOptimizerv4Template< TInternalComputationValueType >::ConvergenceMonitoringType = itk::Function::WindowConvergenceMonitoringFunction<TInternalComputationValueType>

Type for the convergence checker

Definition at line 76 of file itkConjugateGradientLineSearchOptimizerv4.h.

InternalComputationValueType

template<typename TInternalComputationValueType>

using itk::ConjugateGradientLineSearchOptimizerv4Template< TInternalComputationValueType >::InternalComputationValueType = TInternalComputationValueType

It should be possible to derive the internal computation type from the class object.

Definition at line 67 of file itkConjugateGradientLineSearchOptimizerv4.h.

Pointer

template<typename TInternalComputationValueType>

using itk::ConjugateGradientLineSearchOptimizerv4Template< TInternalComputationValueType >::Pointer = SmartPointer<Self>

Definition at line 57 of file itkConjugateGradientLineSearchOptimizerv4.h.

Self

template<typename TInternalComputationValueType>

using itk::ConjugateGradientLineSearchOptimizerv4Template< TInternalComputationValueType >::Self = ConjugateGradientLineSearchOptimizerv4Template

Standard class type aliases.

Definition at line 55 of file itkConjugateGradientLineSearchOptimizerv4.h.

Superclass

template<typename TInternalComputationValueType>

using itk::ConjugateGradientLineSearchOptimizerv4Template< TInternalComputationValueType >::Superclass = GradientDescentLineSearchOptimizerv4Template<TInternalComputationValueType>

Definition at line 56 of file itkConjugateGradientLineSearchOptimizerv4.h.

Constructor & Destructor Documentation

ConjugateGradientLineSearchOptimizerv4Template()

template<typename TInternalComputationValueType>

itk::ConjugateGradientLineSearchOptimizerv4Template< TInternalComputationValueType >::ConjugateGradientLineSearchOptimizerv4Template ( )

protecteddefault

Default constructor

~ConjugateGradientLineSearchOptimizerv4Template()

template<typename TInternalComputationValueType>

itk::ConjugateGradientLineSearchOptimizerv4Template< TInternalComputationValueType >::~ConjugateGradientLineSearchOptimizerv4Template ( )

overrideprotecteddefault

Destructor

Member Function Documentation

AdvanceOneStep()

template<typename TInternalComputationValueType>

void itk::ConjugateGradientLineSearchOptimizerv4Template< TInternalComputationValueType >::AdvanceOneStep ( )

overrideprotectedvirtual

Advance one Step following the gradient direction. Includes transform update.

Reimplemented from itk::GradientDescentOptimizerv4Template< TInternalComputationValueType >.

CreateAnother()

template<typename TInternalComputationValueType>

virtual::itk::LightObject::Pointer itk::ConjugateGradientLineSearchOptimizerv4Template< TInternalComputationValueType >::CreateAnother ( ) const

virtual

Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.

Reimplemented from itk::LightObject.

GetInitialLearningRate()

template<typename TInternalComputationValueType>

virtual const TInternalComputationValueType & itk::ConjugateGradientLineSearchOptimizerv4Template< TInternalComputationValueType >::GetInitialLearningRate ( ) const

virtual

GetNameOfClass()

template<typename TInternalComputationValueType>

virtual const char * itk::ConjugateGradientLineSearchOptimizerv4Template< TInternalComputationValueType >::GetNameOfClass ( ) const

virtual

See also

LightObject::GetNameOfClass()

Reimplemented from itk::GradientDescentLineSearchOptimizerv4Template< TInternalComputationValueType >.

New()

template<typename TInternalComputationValueType>

static Pointer itk::ConjugateGradientLineSearchOptimizerv4Template< TInternalComputationValueType >::New ( )

static

New macro for creation of through a Smart Pointer

PrintSelf()

template<typename TInternalComputationValueType>

void itk::ConjugateGradientLineSearchOptimizerv4Template< TInternalComputationValueType >::PrintSelf ( std::ostream & os, Indent indent ) const

overrideprotectedvirtual

Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.

Reimplemented from itk::LightObject.

SetInitialLearningRate()

template<typename TInternalComputationValueType>

virtual void itk::ConjugateGradientLineSearchOptimizerv4Template< TInternalComputationValueType >::SetInitialLearningRate ( TInternalComputationValueType _arg )

virtual

Set/Get the initial learning rate, which is used in the first iteration of optimization unless overridden by automatic learning rate estimation. Setting the learning rate via SetLearningRate() will also change the initial learning rate for future optimizations.

SetLearningRate()

template<typename TInternalComputationValueType>

void itk::ConjugateGradientLineSearchOptimizerv4Template< TInternalComputationValueType >::SetLearningRate ( TInternalComputationValueType learningRate )

overridevirtual

Set the learning rate for optimization. It is overridden by automatic learning rate estimation if enabled via a ScalesEstimator. The learning rate is updated during optimization according to the golden section line search, even if no ScalesEstimator is set.

The learning rate set by this method is stored and re-used in subsequent calls to StartOptimization() unless overridden by automatic learning rate estimation.

Reimplemented from itk::GradientDescentOptimizerv4Template< TInternalComputationValueType >.

StartOptimization()

template<typename TInternalComputationValueType>

void itk::ConjugateGradientLineSearchOptimizerv4Template< TInternalComputationValueType >::StartOptimization ( bool doOnlyInitialization = false )

overridevirtual

Run the optimization.

Parameters

doOnlyInitialization

This is false by default. It should only be set to true for special cases when the class should be initialized to perform optimization, but no optimization should be run. For example, itkMultiGradientOptimizerv4 needs to do this.

Note

Derived classes must override and call this superclass method, then perform any additional initialization before performing optimization.

Reimplemented from itk::ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >.

Member Data Documentation

m_ConjugateGradient

template<typename TInternalComputationValueType>

DerivativeType itk::ConjugateGradientLineSearchOptimizerv4Template< TInternalComputationValueType >::m_ConjugateGradient {}

private

Definition at line 120 of file itkConjugateGradientLineSearchOptimizerv4.h.

m_InitialLearningRate

template<typename TInternalComputationValueType>

TInternalComputationValueType itk::ConjugateGradientLineSearchOptimizerv4Template< TInternalComputationValueType >::m_InitialLearningRate { 1 }

private

Definition at line 121 of file itkConjugateGradientLineSearchOptimizerv4.h.

m_LastGradient

template<typename TInternalComputationValueType>

DerivativeType itk::ConjugateGradientLineSearchOptimizerv4Template< TInternalComputationValueType >::m_LastGradient {}

private

Definition at line 119 of file itkConjugateGradientLineSearchOptimizerv4.h.

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

• itkConjugateGradientLineSearchOptimizerv4.h