#include <itkSingleValuedNonLinearVnlOptimizerv4.h>

Inheritance diagram for itk::SingleValuedNonLinearVnlOptimizerv4:

Collaboration diagram for itk::SingleValuedNonLinearVnlOptimizerv4:

Detailed Description

This is a base for the ITKv4 Optimization methods using the vnl library.

It is an Adaptor class for optimizers provided by the vnl library.

Definition at line 37 of file itkSingleValuedNonLinearVnlOptimizerv4.h.

Public Types
using	CommandType = ReceptorMemberCommand< Self >

using	ConstPointer = SmartPointer< const Self >

using	DerivativeType = Superclass::DerivativeType

using	MetricType = Superclass::MetricType

using	ParametersType = Superclass::ParametersType

using	Pointer = SmartPointer< Self >

using	ScalesType = Superclass::ScalesType

using	Self = SingleValuedNonLinearVnlOptimizerv4

using	StopConditionDescriptionType = Superclass::StopConditionDescriptionType

using	StopConditionReturnStringType = Superclass::StopConditionReturnStringType

using	Superclass = ObjectToObjectOptimizerBase

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

using	DerivativeType = typename MetricType::DerivativeType

using	MeasureType = typename MetricType::MeasureType

using	MetricType = ObjectToObjectMetricBaseTemplate< double >

using	MetricTypePointer = typename MetricType::Pointer

using	NumberOfParametersType = typename MetricType::NumberOfParametersType

using	ParametersType = OptimizerParameters< double >

using	Pointer = SmartPointer< Self >

using	ScalesEstimatorType = OptimizerParameterScalesEstimatorTemplate< double >

using	ScalesType = OptimizerParameters< double >

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
virtual const char *	GetNameOfClass () const

const StopConditionReturnStringType	GetStopConditionDescription () const override=0

void	SetMetric (MetricType *metric) override=0

void	StartOptimization (bool doOnlyInitialization=false) override


virtual const DerivativeType &	GetCachedDerivative () const

virtual const ParametersType &	GetCachedCurrentPosition () const

Public Member Functions inherited from itk::ObjectToObjectOptimizerBaseTemplate< double >
virtual SizeValueType	GetCurrentIteration () const

virtual const MeasureType &	GetCurrentMetricValue () const

virtual const ParametersType &	GetCurrentPosition () const

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 const MetricType *	GetMetric () const

virtual void	SetScales (const ScalesType &scales)

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 *)

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

void	SetDebug (bool debugFlag) const

void	SetReferenceCount (int) override

void	UnRegister () const noexceptoverride

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
virtual void	Delete ()

virtual int	GetReferenceCount () const

	itkCloneMacro (Self)

void	Print (std::ostream &os, Indent indent=0) const

Protected Types
using	CostFunctionAdaptorType = SingleValuedVnlCostFunctionAdaptorv4

Protected Member Functions
const CostFunctionAdaptorType *	GetCostFunctionAdaptor () const

CostFunctionAdaptorType *	GetCostFunctionAdaptor ()

CostFunctionAdaptorType *	GetNonConstCostFunctionAdaptor () const

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

void	SetCostFunctionAdaptor (CostFunctionAdaptorType *adaptor)

	SingleValuedNonLinearVnlOptimizerv4 ()

	~SingleValuedNonLinearVnlOptimizerv4 () override

Protected Member Functions inherited from itk::ObjectToObjectOptimizerBaseTemplate< double >
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 &time)

	~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 Member Functions
void	IterationReport (const EventObject &event)

Private Attributes
ParametersType	m_CachedCurrentPosition

DerivativeType	m_CachedDerivative

CommandType::Pointer	m_Command

CostFunctionAdaptorType *	m_CostFunctionAdaptor

Additional Inherited Members
Static Public Member Functions inherited from itk::Object
static bool	GetGlobalWarningDisplay ()

static void	GlobalWarningDisplayOff ()

static void	GlobalWarningDisplayOn ()

static Pointer	New ()

static void	SetGlobalWarningDisplay (bool flag)

Static Public Member Functions inherited from itk::LightObject
static void	BreakOnError ()

static Pointer	New ()

Protected Attributes inherited from itk::ObjectToObjectOptimizerBaseTemplate< double >
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

using itk::SingleValuedNonLinearVnlOptimizerv4::CommandType = ReceptorMemberCommand< Self >

Command observer that will interact with the ITKVNL cost-function adaptor in order to generate iteration events. This will allow to overcome the limitation of VNL optimizers not offering callbacks for every iteration

Definition at line 56 of file itkSingleValuedNonLinearVnlOptimizerv4.h.

using itk::SingleValuedNonLinearVnlOptimizerv4::ConstPointer = SmartPointer< const Self >

Definition at line 47 of file itkSingleValuedNonLinearVnlOptimizerv4.h.

using itk::SingleValuedNonLinearVnlOptimizerv4::CostFunctionAdaptorType = SingleValuedVnlCostFunctionAdaptorv4

protected

Definition at line 95 of file itkSingleValuedNonLinearVnlOptimizerv4.h.

using itk::SingleValuedNonLinearVnlOptimizerv4::DerivativeType = Superclass::DerivativeType

Definition at line 59 of file itkSingleValuedNonLinearVnlOptimizerv4.h.

using itk::SingleValuedNonLinearVnlOptimizerv4::MetricType = Superclass::MetricType

Definition at line 58 of file itkSingleValuedNonLinearVnlOptimizerv4.h.

using itk::SingleValuedNonLinearVnlOptimizerv4::ParametersType = Superclass::ParametersType

Definition at line 60 of file itkSingleValuedNonLinearVnlOptimizerv4.h.

using itk::SingleValuedNonLinearVnlOptimizerv4::Pointer = SmartPointer< Self >

Definition at line 46 of file itkSingleValuedNonLinearVnlOptimizerv4.h.

using itk::SingleValuedNonLinearVnlOptimizerv4::ScalesType = Superclass::ScalesType

Definition at line 61 of file itkSingleValuedNonLinearVnlOptimizerv4.h.

using itk::SingleValuedNonLinearVnlOptimizerv4::Self = SingleValuedNonLinearVnlOptimizerv4

Standard class type aliases.

Definition at line 44 of file itkSingleValuedNonLinearVnlOptimizerv4.h.

using itk::SingleValuedNonLinearVnlOptimizerv4::StopConditionDescriptionType = Superclass::StopConditionDescriptionType

Stop condition internal string type

Definition at line 67 of file itkSingleValuedNonLinearVnlOptimizerv4.h.

using itk::SingleValuedNonLinearVnlOptimizerv4::StopConditionReturnStringType = Superclass::StopConditionReturnStringType

Stop condition return string type

Definition at line 64 of file itkSingleValuedNonLinearVnlOptimizerv4.h.

using itk::SingleValuedNonLinearVnlOptimizerv4::Superclass = ObjectToObjectOptimizerBase

Definition at line 45 of file itkSingleValuedNonLinearVnlOptimizerv4.h.

Constructor & Destructor Documentation

itk::SingleValuedNonLinearVnlOptimizerv4::SingleValuedNonLinearVnlOptimizerv4 ( )

protected

itk::SingleValuedNonLinearVnlOptimizerv4::~SingleValuedNonLinearVnlOptimizerv4 ( )

overrideprotected

Member Function Documentation

virtual const ParametersType& itk::SingleValuedNonLinearVnlOptimizerv4::GetCachedCurrentPosition ( ) const

virtual

Return Cached Values. These method have the advantage of not triggering a recomputation of the metric value, but it has the disadvantage of returning a value that may not be the one corresponding to the current parameters. For GUI update purposes, this method is a good option.

Note: The metric value is cached in the base class, retrieved via GetValue().

virtual const DerivativeType& itk::SingleValuedNonLinearVnlOptimizerv4::GetCachedDerivative ( ) const

virtual

Return Cached Values. These method have the advantage of not triggering a recomputation of the metric value, but it has the disadvantage of returning a value that may not be the one corresponding to the current parameters. For GUI update purposes, this method is a good option.

Note: The metric value is cached in the base class, retrieved via GetValue().

const CostFunctionAdaptorType* itk::SingleValuedNonLinearVnlOptimizerv4::GetCostFunctionAdaptor ( ) const

protected

CostFunctionAdaptorType* itk::SingleValuedNonLinearVnlOptimizerv4::GetCostFunctionAdaptor ( )

protected

virtual const char* itk::SingleValuedNonLinearVnlOptimizerv4::GetNameOfClass ( ) const

virtual

Run-time type information (and related methods).

Reimplemented from itk::ObjectToObjectOptimizerBaseTemplate< double >.

Reimplemented in itk::LBFGSOptimizerv4, itk::LBFGSOptimizerBasev4< TInternalVnlOptimizerType >, itk::LBFGSOptimizerBasev4< vnl_lbfgs >, itk::LBFGSOptimizerBasev4< vnl_lbfgsb >, itk::LBFGSBOptimizerv4, and itk::AmoebaOptimizerv4.

CostFunctionAdaptorType* itk::SingleValuedNonLinearVnlOptimizerv4::GetNonConstCostFunctionAdaptor ( ) const

protected

The purpose of this method is to get around the lack of const-correctness in VNL cost-functions and optimizers

const StopConditionReturnStringType itk::SingleValuedNonLinearVnlOptimizerv4::GetStopConditionDescription ( ) const

overridepure virtual

Get the reason for termination

Implements itk::ObjectToObjectOptimizerBaseTemplate< double >.

Implemented in itk::AmoebaOptimizerv4, itk::LBFGSOptimizerBasev4< TInternalVnlOptimizerType >, itk::LBFGSOptimizerBasev4< vnl_lbfgs >, and itk::LBFGSOptimizerBasev4< vnl_lbfgsb >.

void itk::SingleValuedNonLinearVnlOptimizerv4::IterationReport ( const EventObject & event )

private

The purpose of this method is to get around the lack of iteration reporting in VNL optimizers. By interfacing directly with the ITK cost function adaptor we are generating here Iteration Events. Note the iteration events here are produce PER EVALUATION of the metric, not per real iteration of the vnl optimizer. Optimizers that evaluate the metric multiple times at each iteration will generate a lot more of Iteration events here.

void itk::SingleValuedNonLinearVnlOptimizerv4::PrintSelf	(	std::ostream &	os,
		Indent	indent
	)		const

overrideprotectedvirtual

Print out internal state

Reimplemented from itk::Object.

Reimplemented in itk::LBFGSOptimizerBasev4< vnl_lbfgs >, and itk::LBFGSOptimizerBasev4< vnl_lbfgsb >.

void itk::SingleValuedNonLinearVnlOptimizerv4::SetCostFunctionAdaptor ( CostFunctionAdaptorType * adaptor )

protected

void itk::SingleValuedNonLinearVnlOptimizerv4::SetMetric ( MetricType * metric )

overridepure virtual

Set the metric (cost function). This method has to be overloaded by derived classes because the CostFunctionAdaptor requires to know the number of parameters at construction time. This number of parameters is obtained at run-time from the itkObjectToObjectMetric. As a consequence each derived optimizer should construct its own CostFunctionAdaptor when overloading this method

Implemented in itk::LBFGSBOptimizerv4, itk::LBFGSOptimizerv4, itk::LBFGSOptimizerBasev4< TInternalVnlOptimizerType >, itk::LBFGSOptimizerBasev4< vnl_lbfgs >, itk::LBFGSOptimizerBasev4< vnl_lbfgsb >, and itk::AmoebaOptimizerv4.

void itk::SingleValuedNonLinearVnlOptimizerv4::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.