#include <elxStandardGradientDescent.h>

Detailed Description

template<class TElastix>
class elastix::StandardGradientDescent< TElastix >

A gradient descent optimizer with a decaying gain.

This class is a wrap around the StandardGradientDescentOptimizer class. It takes care of setting parameters and printing progress information. For more information about the optimisation method, please read the documentation of the StandardGradientDescentOptimizer class.

The parameters used in this class are:

Parameters

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

MaximumNumberOfIterations: The maximum number of iterations in each resolution.
example: (MaximumNumberOfIterations 100 100 50)
Default/recommended value: 500.

MaximumNumberOfSamplingAttempts: The maximum number of sampling attempts. Sometimes not enough corresponding samples can be drawn, upon which an exception is thrown. With this parameter it is possible to try to draw another set of samples.
example: (MaximumNumberOfSamplingAttempts 10 15 10)
Default value: 0, i.e. just fail immediately, for backward compatibility.

SP_a: The gain $a(k)$ at each iteration $k$ is defined by
$a(k) = SP\_a / (SP\_A + k + 1)^{SP\_alpha}$ .
SP_a can be defined for each resolution.
example: (SP_a 3200.0 3200.0 1600.0)
The default value is 400.0. Tuning this variable for you specific problem is recommended.

SP_A: The gain $a(k)$ at each iteration $k$ is defined by
$a(k) = SP\_a / (SP\_A + k + 1)^{SP\_alpha}$ .
SP_A can be defined for each resolution.
example: (SP_A 50.0 50.0 100.0)
The default/recommended value is 50.0.

SP_alpha: The gain $a(k)$ at each iteration $k$ is defined by
$a(k) = SP\_a / (SP\_A + k + 1)^{SP\_alpha}$ .
SP_alpha can be defined for each resolution.
example: (SP_alpha 0.602 0.602 0.602)
The default/recommended value is 0.602.

See also: StandardGradientDescentOptimizer

Definition at line 68 of file elxStandardGradientDescent.h.

Inheritance diagram for elastix::StandardGradientDescent< TElastix >:

[legend]

Public Types
using	ConstPointer = itk::SmartPointer<const Self>

using	ITKBaseType = typename Superclass2::ITKBaseType

using	Pointer = itk::SmartPointer<Self>

using	Self = StandardGradientDescent

using	Superclass1 = StandardGradientDescentOptimizer

using	Superclass2 = OptimizerBase<TElastix>

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

using	Pointer = SmartPointer<Self>

using	ScaledCostFunctionPointer

using	ScaledCostFunctionType

using	ScalesType

using	Self = StandardGradientDescentOptimizer

enum	StopConditionType

using	Superclass = GradientDescentOptimizer2

Public Types inherited from itk::GradientDescentOptimizer2
using	ConstPointer = SmartPointer<const Self>

using	Pointer = SmartPointer<Self>

using	ScaledCostFunctionPointer

using	ScaledCostFunctionType

using	ScalesType

using	Self = GradientDescentOptimizer2

enum	StopConditionType { MaximumNumberOfIterations , MetricError , MinimumStepSize }

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 ("StandardGradientDescent")

virtual const char *	GetClassName () const

virtual const unsigned long &	GetMaximumNumberOfSamplingAttempts ()

	ITK_DISALLOW_COPY_AND_MOVE (StandardGradientDescent)

void	MetricErrorResponse (itk::ExceptionObject &err) override

void	SetCurrentPositionPublic (const ParametersType &param) override

virtual void	SetMaximumNumberOfSamplingAttempts (unsigned long _arg)

void	StartOptimization () override

Public Member Functions inherited from itk::StandardGradientDescentOptimizer
void	AdvanceOneStep () override

virtual double	GetCurrentTime () const

virtual double	GetInitialTime () const

virtual double	GetParam_A () const

virtual double	GetParam_a () const

virtual double	GetParam_alpha () const

	ITK_DISALLOW_COPY_AND_MOVE (StandardGradientDescentOptimizer)

virtual void	ResetCurrentTimeToInitialTime ()

virtual void	SetInitialTime (double _arg)

virtual void	SetParam_A (double _arg)

virtual void	SetParam_a (double _arg)

virtual void	SetParam_alpha (double _arg)

void	StartOptimization () override

Public Member Functions inherited from itk::GradientDescentOptimizer2
virtual unsigned int	GetCurrentIteration () const

virtual const DerivativeType &	GetGradient ()

virtual const double &	GetLearningRate ()

virtual const unsigned long &	GetNumberOfIterations ()

virtual const DerivativeType &	GetSearchDirection ()

virtual const StopConditionType &	GetStopCondition ()

virtual const double &	GetValue ()

	ITK_DISALLOW_COPY_AND_MOVE (GradientDescentOptimizer2)

virtual void	MetricErrorResponse (ExceptionObject &err)

virtual void	ResumeOptimization ()

virtual void	SetLearningRate (double _arg)

virtual void	SetNumberOfIterations (unsigned long _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	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::StandardGradientDescentOptimizer
static Pointer	New ()

Static Public Member Functions inherited from itk::GradientDescentOptimizer2
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
	StandardGradientDescent ()

	~StandardGradientDescent () override=default

Protected Member Functions inherited from itk::StandardGradientDescentOptimizer
virtual double	Compute_a (double k) const

	StandardGradientDescentOptimizer ()

virtual void	UpdateCurrentTime ()

	~StandardGradientDescentOptimizer () override=default

Protected Member Functions inherited from itk::GradientDescentOptimizer2
	GradientDescentOptimizer2 ()

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

	~GradientDescentOptimizer2 () 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

Private Attributes
	elxOverrideGetSelfMacro

unsigned long	m_CurrentNumberOfSamplingAttempts

unsigned long	m_MaximumNumberOfSamplingAttempts

unsigned long	m_PreviousErrorAtIteration

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)

Protected Attributes inherited from itk::StandardGradientDescentOptimizer
double	m_CurrentTime { 0.0 }

bool	m_UseConstantStep { false }

Protected Attributes inherited from itk::GradientDescentOptimizer2
DerivativeType	m_Gradient {}

DerivativeType	m_SearchDirection {}

StopConditionType	m_StopCondition { MaximumNumberOfIterations }

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 {}

Member Typedef Documentation

◆ ConstPointer

template<class TElastix >

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

Definition at line 80 of file elxStandardGradientDescent.h.

◆ ITKBaseType

template<class TElastix >

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

Definition at line 102 of file elxStandardGradientDescent.h.

◆ Pointer

template<class TElastix >

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

Definition at line 79 of file elxStandardGradientDescent.h.

◆ Self

template<class TElastix >

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

Standard ITK.

Definition at line 76 of file elxStandardGradientDescent.h.

◆ Superclass1

template<class TElastix >

using elastix::StandardGradientDescent< TElastix >::Superclass1 = StandardGradientDescentOptimizer

Definition at line 77 of file elxStandardGradientDescent.h.

◆ Superclass2

template<class TElastix >

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

Definition at line 78 of file elxStandardGradientDescent.h.

Constructor & Destructor Documentation

◆ StandardGradientDescent()

template<class TElastix >

elastix::StandardGradientDescent< TElastix >::StandardGradientDescent ( )

protected

◆ ~StandardGradientDescent()

template<class TElastix >

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

overrideprotecteddefault

Member Function Documentation

◆ AfterEachIteration()

template<class TElastix >

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

overridevirtual

Reimplemented from elastix::BaseComponent.

◆ AfterEachResolution()

template<class TElastix >

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

overridevirtual

Reimplemented from elastix::BaseComponent.

◆ AfterRegistration()

template<class TElastix >

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

overridevirtual

Reimplemented from elastix::BaseComponent.

◆ BeforeEachResolution()

template<class TElastix >

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

overridevirtual

Reimplemented from elastix::BaseComponent.

◆ BeforeRegistration()

template<class TElastix >

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

overridevirtual

Methods invoked by elastix, in which parameters can be set and progress information can be printed.

Reimplemented from elastix::BaseComponent.

◆ elxClassNameMacro()

template<class TElastix >

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

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

◆ GetClassName()

template<class TElastix >

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

virtual

Run-time type information (and related methods).

Reimplemented from itk::StandardGradientDescentOptimizer.

◆ GetMaximumNumberOfSamplingAttempts()

template<class TElastix >

virtual const unsigned long & elastix::StandardGradientDescent< TElastix >::GetMaximumNumberOfSamplingAttempts ( )

virtual

Get the MaximumNumberOfSamplingAttempts.

◆ ITK_DISALLOW_COPY_AND_MOVE()

template<class TElastix >

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

◆ MetricErrorResponse()

template<class TElastix >

void elastix::StandardGradientDescent< TElastix >::MetricErrorResponse ( itk::ExceptionObject & err )

override

Stop optimisation and pass on exception.

◆ New()

template<class TElastix >

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

static

Method for creation through the object factory.

◆ SetCurrentPositionPublic()

template<class TElastix >

void elastix::StandardGradientDescent< TElastix >::SetCurrentPositionPublic ( const ParametersType & param )

inlineoverridevirtual

Add SetCurrentPositionPublic, which calls the protected SetCurrentPosition of the itkStandardGradientDescentOptimizer class.

Reimplemented from elastix::OptimizerBase< TElastix >.

Definition at line 137 of file elxStandardGradientDescent.h.

◆ SetMaximumNumberOfSamplingAttempts()

template<class TElastix >

virtual void elastix::StandardGradientDescent< TElastix >::SetMaximumNumberOfSamplingAttempts ( unsigned long _arg )

virtual

Set the MaximumNumberOfSamplingAttempts.

◆ StartOptimization()

template<class TElastix >

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

override

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

Field Documentation

◆ elxOverrideGetSelfMacro

template<class TElastix >

elastix::StandardGradientDescent< TElastix >::elxOverrideGetSelfMacro

private

Definition at line 154 of file elxStandardGradientDescent.h.

◆ m_CurrentNumberOfSamplingAttempts

template<class TElastix >

unsigned long elastix::StandardGradientDescent< TElastix >::m_CurrentNumberOfSamplingAttempts

private

Definition at line 158 of file elxStandardGradientDescent.h.

◆ m_MaximumNumberOfSamplingAttempts

template<class TElastix >

unsigned long elastix::StandardGradientDescent< TElastix >::m_MaximumNumberOfSamplingAttempts

private

Private variables for the sampling attempts.

Definition at line 157 of file elxStandardGradientDescent.h.

◆ m_PreviousErrorAtIteration

template<class TElastix >

unsigned long elastix::StandardGradientDescent< TElastix >::m_PreviousErrorAtIteration

private

Definition at line 159 of file elxStandardGradientDescent.h.

Detailed Description

Public Types

Public Member Functions

Static Public Member Functions

Protected Member Functions

Private Attributes

Additional Inherited Members

Member Typedef Documentation

◆ ConstPointer

◆ ITKBaseType

◆ Pointer

◆ Self

◆ Superclass1

◆ Superclass2

Constructor & Destructor Documentation

◆ StandardGradientDescent()

◆ ~StandardGradientDescent()

Member Function Documentation

◆ AfterEachIteration()

◆ AfterEachResolution()

◆ AfterRegistration()

◆ BeforeEachResolution()

◆ BeforeRegistration()

◆ elxClassNameMacro()

◆ GetClassName()

◆ GetMaximumNumberOfSamplingAttempts()

◆ ITK_DISALLOW_COPY_AND_MOVE()

◆ MetricErrorResponse()

◆ New()

◆ SetCurrentPositionPublic()

◆ SetMaximumNumberOfSamplingAttempts()

◆ StartOptimization()

Field Documentation

◆ elxOverrideGetSelfMacro

◆ m_CurrentNumberOfSamplingAttempts

◆ m_MaximumNumberOfSamplingAttempts

◆ m_PreviousErrorAtIteration