#include <itkMultiGradientOptimizerv4.h>

Detailed Description

template<typename TInternalComputationValueType>
class itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >

Multiple gradient-based optimizers are combined in order to perform a multi-objective optimization.

This optimizer will do a combined gradient descent optimization using whatever metric/optimizer gradient sub-optimizers are passed to it by the user. The learning rate or scale estimator for each sub-optimizer controls the relative weight of each metric in the optimization. Denote the weights as \( w_1 \) and \( w_2 \) then the MultiGradientOptimizer will optimize \( \sum_i w_i Metric_i \) by using update rule:

\[ params_{new} = params_{old} + \frac{1}{N_{Metrics}} * ( \sum_i w_i Grad(Metric_i) ) \]

Note: The scales, learning rates and weights options must be set individually for each sub-optimizer, and have no effect when set on this class.

The test for this class illustrates the expected behavior.

Definition at line 47 of file itkMultiGradientOptimizerv4.h.

Inheritance diagram for itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >:

Collaboration diagram for itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >:

Public Types
using	ConstPointer = SmartPointer< const Self >

using	DerivativeType = typename MetricType::DerivativeType

using	InternalComputationValueType = TInternalComputationValueType

using	LocalOptimizerPointer = typename itk::GradientDescentOptimizerv4Template< TInternalComputationValueType >::Pointer

using	LocalOptimizerType = itk::GradientDescentOptimizerv4Template< TInternalComputationValueType >

using	MetricTypePointer = typename MetricType::Pointer

using	MetricValuesListType = std::vector< MeasureType >

using	OptimizerPointer = typename OptimizerType::Pointer

using	OptimizersListSizeType = typename OptimizersListType::size_type

using	OptimizersListType = std::vector< LocalOptimizerPointer >

using	OptimizerType = ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >

using	Pointer = SmartPointer< Self >

using	Self = MultiGradientOptimizerv4Template

using	Superclass = GradientDescentOptimizerv4Template< TInternalComputationValueType >

Public Types inherited from itk::GradientDescentOptimizerv4Template< TInternalComputationValueType >
using	ConstPointer = SmartPointer< const Self >

using	InternalComputationValueType = TInternalComputationValueType

using	Pointer = SmartPointer< Self >

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	IndexRangeType = ThreadedIndexedContainerPartitioner::IndexRangeType

using	InternalComputationValueType = TInternalComputationValueType

using	MetricTypePointer = typename MetricType::Pointer

using	Pointer = SmartPointer< Self >

using	Self = GradientDescentOptimizerBasev4Template

using	Superclass = ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >

Public Types inherited from itk::ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >
using	ConstPointer = SmartPointer< const Self >

using	DerivativeType = typename MetricType::DerivativeType

using	MeasureType = typename MetricType::MeasureType

using	MetricType = ObjectToObjectMetricBaseTemplate< TInternalComputationValueType >

using	MetricTypePointer = typename MetricType::Pointer

using	NumberOfParametersType = typename MetricType::NumberOfParametersType

using	ParametersType = OptimizerParameters< TInternalComputationValueType >

using	Pointer = SmartPointer< Self >

using	ScalesEstimatorType = OptimizerParameterScalesEstimatorTemplate< TInternalComputationValueType >

using	ScalesType = OptimizerParameters< TInternalComputationValueType >

using	Self = ObjectToObjectOptimizerBaseTemplate

using	StopConditionDescriptionType = std::ostringstream

using	StopConditionReturnStringType = std::string

using	Superclass = Object

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
const MetricValuesListType &	GetMetricValuesList () const

const char *	GetNameOfClass () const override

OptimizersListType &	GetOptimizersList ()

const StopConditionObjectToObjectOptimizerEnum &	GetStopCondition () const override

StopConditionReturnStringType	GetStopConditionDescription () const override

void	ResumeOptimization () override

void	SetOptimizersList (OptimizersListType &p)

void	StartOptimization (bool doOnlyInitialization=false) override

void	StopOptimization () override

Public Member Functions inherited from itk::GradientDescentOptimizerv4Template< TInternalComputationValueType >
virtual void	EstimateLearningRate ()

virtual const TInternalComputationValueType &	GetConvergenceValue () const

virtual void	SetConvergenceWindowSize (SizeValueType _arg)

virtual void	SetMinimumConvergenceValue (TInternalComputationValueType _arg)

virtual void	SetLearningRate (TInternalComputationValueType _arg)

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	SetDoEstimateLearningRateOnce (bool _arg)

virtual const bool &	GetDoEstimateLearningRateOnce () const

virtual void	DoEstimateLearningRateOnceOn ()

virtual void	SetReturnBestParametersAndValue (bool _arg)

virtual const bool &	GetReturnBestParametersAndValue () const

virtual void	ReturnBestParametersAndValueOn ()

Public Member Functions inherited from itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >
virtual const DerivativeType &	GetGradient () const

virtual void	ModifyGradientByScales ()

virtual void	ModifyGradientByLearningRate ()

Public Member Functions inherited from itk::ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >
virtual bool	CanUseScales () const

virtual SizeValueType	GetCurrentIteration () const

virtual const MeasureType &	GetCurrentMetricValue () const

virtual const ParametersType &	GetCurrentPosition () const

const char *	GetNameOfClass () const override

virtual SizeValueType	GetNumberOfIterations () const

virtual const ThreadIdType &	GetNumberOfWorkUnits () const

virtual const ScalesType &	GetScales () const

virtual const bool &	GetScalesAreIdentity () const

bool	GetScalesInitialized () const

virtual const MeasureType &	GetValue () const

virtual const ScalesType &	GetWeights () const

virtual const bool &	GetWeightsAreIdentity () const

virtual void	SetNumberOfIterations (SizeValueType _arg)

virtual void	SetNumberOfWorkUnits (ThreadIdType number)

virtual void	SetScalesEstimator (ScalesEstimatorType *_arg)

virtual void	SetWeights (ScalesType _arg)

virtual void	SetMetric (MetricType *_arg)

virtual MetricType *	GetModifiableMetric ()

virtual void	SetScales (const ScalesType &scales)

virtual void	SetDoEstimateScales (bool _arg)

virtual const bool &	GetDoEstimateScales () const

virtual void	DoEstimateScalesOn ()

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::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	PrintSelf (std::ostream &os, Indent indent) const override


	MultiGradientOptimizerv4Template ()

	~MultiGradientOptimizerv4Template () override=default

Protected Member Functions inherited from itk::GradientDescentOptimizerv4Template< TInternalComputationValueType >
virtual void	AdvanceOneStep ()

	GradientDescentOptimizerv4Template ()

void	ModifyGradientByLearningRateOverSubRange (const IndexRangeType &subrange) override

void	ModifyGradientByScalesOverSubRange (const IndexRangeType &subrange) override

	~GradientDescentOptimizerv4Template () override=default

Protected Member Functions inherited from itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >
	GradientDescentOptimizerBasev4Template ()

	~GradientDescentOptimizerBasev4Template () override=default

Protected Member Functions inherited from itk::ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >
void	PrintSelf (std::ostream &os, Indent indent) const override

	ObjectToObjectOptimizerBaseTemplate ()

	~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 ()

Protected Attributes
MeasureType	m_MaximumMetricValue {}

MetricValuesListType	m_MetricValuesList {}

MeasureType	m_MinimumMetricValue {}

OptimizersListType	m_OptimizersList {}

bool	m_Stop { false }

StopConditionObjectToObjectOptimizerEnum	m_StopCondition {}

StopConditionDescriptionType	m_StopConditionDescription {}

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 {}

MeasureType	m_CurrentMetricValue {}

bool	m_DoEstimateScales {}

MetricTypePointer	m_Metric {}

SizeValueType	m_NumberOfIterations {}

ThreadIdType	m_NumberOfWorkUnits {}

ScalesType	m_Scales {}

bool	m_ScalesAreIdentity {}

ScalesEstimatorType::Pointer	m_ScalesEstimator {}

ScalesType	m_Weights {}

bool	m_WeightsAreIdentity {}

Protected Attributes inherited from itk::LightObject
std::atomic< int >	m_ReferenceCount {}

Member Typedef Documentation

◆ ConstPointer

template<typename TInternalComputationValueType >

using itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::ConstPointer = SmartPointer<const Self>

Definition at line 57 of file itkMultiGradientOptimizerv4.h.

◆ DerivativeType

template<typename TInternalComputationValueType >

using itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::DerivativeType = typename MetricType::DerivativeType

Derivative type

Definition at line 88 of file itkMultiGradientOptimizerv4.h.

◆ InternalComputationValueType

template<typename TInternalComputationValueType >

using itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::InternalComputationValueType = TInternalComputationValueType

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

Definition at line 81 of file itkMultiGradientOptimizerv4.h.

◆ LocalOptimizerPointer

template<typename TInternalComputationValueType >

using itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::LocalOptimizerPointer = typename itk::GradientDescentOptimizerv4Template<TInternalComputationValueType>::Pointer

Definition at line 67 of file itkMultiGradientOptimizerv4.h.

◆ LocalOptimizerType

template<typename TInternalComputationValueType >

using itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::LocalOptimizerType = itk::GradientDescentOptimizerv4Template<TInternalComputationValueType>

Definition at line 65 of file itkMultiGradientOptimizerv4.h.

◆ MetricTypePointer

template<typename TInternalComputationValueType >

using itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::MetricTypePointer = typename MetricType::Pointer

Definition at line 85 of file itkMultiGradientOptimizerv4.h.

◆ MetricValuesListType

template<typename TInternalComputationValueType >

using itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::MetricValuesListType = std::vector<MeasureType>

Definition at line 92 of file itkMultiGradientOptimizerv4.h.

◆ OptimizerPointer

template<typename TInternalComputationValueType >

using itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::OptimizerPointer = typename OptimizerType::Pointer

Definition at line 70 of file itkMultiGradientOptimizerv4.h.

◆ OptimizersListSizeType

template<typename TInternalComputationValueType >

using itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::OptimizersListSizeType = typename OptimizersListType::size_type

Definition at line 72 of file itkMultiGradientOptimizerv4.h.

◆ OptimizersListType

template<typename TInternalComputationValueType >

using itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::OptimizersListType = std::vector<LocalOptimizerPointer>

Definition at line 71 of file itkMultiGradientOptimizerv4.h.

◆ OptimizerType

template<typename TInternalComputationValueType >

using itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::OptimizerType = ObjectToObjectOptimizerBaseTemplate<TInternalComputationValueType>

Definition at line 69 of file itkMultiGradientOptimizerv4.h.

◆ Pointer

template<typename TInternalComputationValueType >

using itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::Pointer = SmartPointer<Self>

Definition at line 56 of file itkMultiGradientOptimizerv4.h.

◆ Self

template<typename TInternalComputationValueType >

using itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::Self = MultiGradientOptimizerv4Template

Standard class type aliases.

Definition at line 54 of file itkMultiGradientOptimizerv4.h.

◆ Superclass

template<typename TInternalComputationValueType >

using itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::Superclass = GradientDescentOptimizerv4Template<TInternalComputationValueType>

Definition at line 55 of file itkMultiGradientOptimizerv4.h.

Constructor & Destructor Documentation

◆ MultiGradientOptimizerv4Template()

template<typename TInternalComputationValueType >

itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::MultiGradientOptimizerv4Template ( )

protected

Default constructor

◆ ~MultiGradientOptimizerv4Template()

template<typename TInternalComputationValueType >

itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::~MultiGradientOptimizerv4Template ( )

overrideprotecteddefault

Default constructor

Member Function Documentation

◆ GetMetricValuesList()

template<typename TInternalComputationValueType >

const MetricValuesListType& itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::GetMetricValuesList ( ) const

Get the list of metric values that we produced after the multi-objective search.

◆ GetNameOfClass()

template<typename TInternalComputationValueType >

const char* itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::GetNameOfClass ( ) const

overridevirtual

See also: LightObject::GetNameOfClass()

Reimplemented from itk::GradientDescentOptimizerv4Template< TInternalComputationValueType >.

◆ GetOptimizersList()

template<typename TInternalComputationValueType >

OptimizersListType& itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::GetOptimizersList ( )

Get the list of optimizers currently held.

◆ GetStopCondition()

template<typename TInternalComputationValueType >

const StopConditionObjectToObjectOptimizerEnum& itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::GetStopCondition ( ) const

inlineoverridevirtual

Get stop condition enum

Reimplemented from itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >.

Definition at line 96 of file itkMultiGradientOptimizerv4.h.

◆ GetStopConditionDescription()

template<typename TInternalComputationValueType >

StopConditionReturnStringType itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::GetStopConditionDescription ( ) const

overridevirtual

Get the reason for termination

Reimplemented from itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >.

◆ New()

template<typename TInternalComputationValueType >

static Pointer itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::New ( )

static

Method for creation through the object factory.

◆ PrintSelf()

template<typename TInternalComputationValueType >

void itk::MultiGradientOptimizerv4Template< 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::GradientDescentOptimizerv4Template< TInternalComputationValueType >.