itk::GradientDescentOptimizerBasev4 Class Reference

#include <itkGradientDescentOptimizerBasev4.h>

Inheritance diagram for itk::GradientDescentOptimizerBasev4:

Collaboration diagram for itk::GradientDescentOptimizerBasev4:

Detailed Description

Abstract base class for gradient descent-style optimizers.

Gradient modification is threaded in ModifyGradient.

Derived classes must override ModifyGradientByScalesOverSubRange, ModifyGradientByLearningRateOverSubRange and ResumeOptimization.

Definition at line 38 of file itkGradientDescentOptimizerBasev4.h.

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef MetricType::DerivativeType	DerivativeType
typedef Superclass::InternalComputationValueType	InternalComputationValueType
typedef Superclass::MeasureType	MeasureType
typedef Superclass::MetricType	MetricType
typedef MetricType::Pointer	MetricTypePointer
typedef SmartPointer< Self >	Pointer
typedef GradientDescentOptimizerBasev4	Self
typedef std::ostringstream	StopConditionDescriptionType
typedef std::string	StopConditionReturnStringType
enum	StopConditionType {   MAXIMUM_NUMBER_OF_ITERATIONS,   COSTFUNCTION_ERROR,   UPDATE_PARAMETERS_ERROR,   STEP_TOO_SMALL,   QUASI_NEWTON_STEP_ERROR,   CONVERGENCE_CHECKER_PASSED,   OTHER_ERROR }
typedef ObjectToObjectOptimizerBase	Superclass
Public Types inherited from itk::ObjectToObjectOptimizerBase
typedef SmartPointer< const Self >	ConstPointer
typedef MetricType::InternalComputationValueType	InternalComputationValueType
typedef MetricType::MeasureType	MeasureType
typedef ObjectToObjectMetricBase	MetricType
typedef MetricType::Pointer	MetricTypePointer
typedef MetricType::NumberOfParametersType	NumberOfParametersType
typedef OptimizerParameters < double >	ParametersType
typedef SmartPointer< Self >	Pointer
typedef OptimizerParameters < double >	ScalesType
typedef ObjectToObjectOptimizerBase	Self
typedef Object	Superclass
Public Types inherited from itk::Object
typedef SmartPointer< const Self >	ConstPointer
typedef SmartPointer< Self >	Pointer
typedef Object	Self
typedef LightObject	Superclass
Public Types inherited from itk::LightObject
typedef SmartPointer< const Self >	ConstPointer
typedef SmartPointer< Self >	Pointer
typedef LightObject	Self

Public Member Functions
virtual SizeValueType	GetCurrentIteration () const
virtual const DerivativeType &	GetGradient ()
virtual const char *	GetNameOfClass () const
virtual const SizeValueType &	GetNumberOfIterations ()
virtual const StopConditionType &	GetStopCondition ()
virtual const StopConditionReturnStringType	GetStopConditionDescription () const
virtual void	ResumeOptimization ()=0
virtual void	SetNumberOfIterations (SizeValueType _arg)
virtual void	StopOptimization (void)
virtual void	ModifyGradientByScales ()
virtual void	ModifyGradientByLearningRate ()
Public Member Functions inherited from itk::ObjectToObjectOptimizerBase
virtual const MeasureType &	GetCurrentMetricValue ()
const ParametersType &	GetCurrentPosition ()
virtual const ThreadIdType &	GetNumberOfThreads ()
virtual const ScalesType &	GetScales ()
virtual const bool &	GetScalesAreIdentity ()
const MeasureType &	GetValue ()
virtual const ScalesType &	GetWeights ()
virtual const bool &	GetWeightsAreIdentity ()
virtual void	SetNumberOfThreads (ThreadIdType number)
virtual void	SetScales (ScalesType _arg)
virtual void	SetWeights (ScalesType _arg)
virtual void	StartOptimization (bool doOnlyInitialization=false)
virtual MetricType *	GetMetric ()
virtual void	SetMetric (MetricType *_arg)
Public Member Functions inherited from itk::Object
unsigned long	AddObserver (const EventObject &event, Command *)
unsigned long	AddObserver (const EventObject &event, Command *) const
virtual LightObject::Pointer	CreateAnother () const
virtual void	DebugOff () const
virtual void	DebugOn () const
Command *	GetCommand (unsigned long tag)
bool	GetDebug () const
MetaDataDictionary &	GetMetaDataDictionary (void)
const MetaDataDictionary &	GetMetaDataDictionary (void) 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
virtual void	Register () const
void	RemoveAllObservers ()
void	RemoveObserver (unsigned long tag)
void	SetDebug (bool debugFlag) const
void	SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void	SetReferenceCount (int)
virtual void	UnRegister () 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
typedef GradientDescentOptimizerBasev4ModifyGradientByScalesThreader::IndexRangeType	IndexRangeType

Protected Member Functions
virtual void	ModifyGradientByLearningRateOverSubRange (const IndexRangeType &subrange)=0
virtual void	ModifyGradientByScalesOverSubRange (const IndexRangeType &subrange)=0
virtual void	PrintSelf (std::ostream &os, Indent indent) const
	GradientDescentOptimizerBasev4 ()
virtual	~GradientDescentOptimizerBasev4 ()
Protected Member Functions inherited from itk::ObjectToObjectOptimizerBase
	ObjectToObjectOptimizerBase ()
virtual	~ObjectToObjectOptimizerBase ()
Protected Member Functions inherited from itk::Object
	Object ()
bool	PrintObservers (std::ostream &os, Indent indent) const
virtual void	SetTimeStamp (const TimeStamp &time)
virtual	~Object ()
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
SizeValueType	m_CurrentIteration
DerivativeType	m_Gradient
GradientDescentOptimizerBasev4ModifyGradientByLearningRateThreader::Pointer	m_ModifyGradientByLearningRateThreader
GradientDescentOptimizerBasev4ModifyGradientByScalesThreader::Pointer	m_ModifyGradientByScalesThreader
SizeValueType	m_NumberOfIterations
bool	m_Stop
StopConditionType	m_StopCondition
StopConditionDescriptionType	m_StopConditionDescription
Protected Attributes inherited from itk::ObjectToObjectOptimizerBase
MeasureType	m_CurrentMetricValue
MetricTypePointer	m_Metric
ThreadIdType	m_NumberOfThreads
ScalesType	m_Scales
bool	m_ScalesAreIdentity
ScalesType	m_Weights
bool	m_WeightsAreIdentity

Private Member Functions
	GradientDescentOptimizerBasev4 (const Self &)
void	operator= (const Self &)

Friends
class	GradientDescentOptimizerBasev4ModifyGradientByLearningRateThreader
class	GradientDescentOptimizerBasev4ModifyGradientByScalesThreader

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)

Member Typedef Documentation

typedef SmartPointer< const Self > itk::GradientDescentOptimizerBasev4::ConstPointer

Definition at line 46 of file itkGradientDescentOptimizerBasev4.h.

typedef MetricType::DerivativeType itk::GradientDescentOptimizerBasev4::DerivativeType

Derivative type

Definition at line 73 of file itkGradientDescentOptimizerBasev4.h.

typedef GradientDescentOptimizerBasev4ModifyGradientByScalesThreader::IndexRangeType itk::GradientDescentOptimizerBasev4::IndexRangeType

protected

Definition at line 134 of file itkGradientDescentOptimizerBasev4.h.

typedef Superclass::InternalComputationValueType itk::GradientDescentOptimizerBasev4::InternalComputationValueType

Internal computation type, for maintaining a desired precision

Definition at line 79 of file itkGradientDescentOptimizerBasev4.h.

typedef Superclass::MeasureType itk::GradientDescentOptimizerBasev4::MeasureType

Measure type

Definition at line 76 of file itkGradientDescentOptimizerBasev4.h.

typedef Superclass::MetricType itk::GradientDescentOptimizerBasev4::MetricType

Metric type over which this class is templated

Definition at line 69 of file itkGradientDescentOptimizerBasev4.h.

typedef MetricType::Pointer itk::GradientDescentOptimizerBasev4::MetricTypePointer

Definition at line 70 of file itkGradientDescentOptimizerBasev4.h.

typedef SmartPointer< Self > itk::GradientDescentOptimizerBasev4::Pointer

Definition at line 45 of file itkGradientDescentOptimizerBasev4.h.

typedef GradientDescentOptimizerBasev4 itk::GradientDescentOptimizerBasev4::Self

Standard class typedefs.

Definition at line 43 of file itkGradientDescentOptimizerBasev4.h.

typedef std::ostringstream itk::GradientDescentOptimizerBasev4::StopConditionDescriptionType

Stop condition internal string type

Definition at line 66 of file itkGradientDescentOptimizerBasev4.h.

typedef std::string itk::GradientDescentOptimizerBasev4::StopConditionReturnStringType

Stop condition return string type

Definition at line 63 of file itkGradientDescentOptimizerBasev4.h.

typedef ObjectToObjectOptimizerBase itk::GradientDescentOptimizerBasev4::Superclass

Definition at line 44 of file itkGradientDescentOptimizerBasev4.h.

Member Enumeration Documentation

enum itk::GradientDescentOptimizerBasev4::StopConditionType

Codes of stopping conditions.

Enumerator:

MAXIMUM_NUMBER_OF_ITERATIONS
COSTFUNCTION_ERROR
UPDATE_PARAMETERS_ERROR
STEP_TOO_SMALL
QUASI_NEWTON_STEP_ERROR
CONVERGENCE_CHECKER_PASSED
OTHER_ERROR

Definition at line 52 of file itkGradientDescentOptimizerBasev4.h.

Constructor & Destructor Documentation

itk::GradientDescentOptimizerBasev4::GradientDescentOptimizerBasev4 ( )

protected

Default constructor

virtual itk::GradientDescentOptimizerBasev4::~GradientDescentOptimizerBasev4 ( )

protectedvirtual

Default constructor

itk::GradientDescentOptimizerBasev4::GradientDescentOptimizerBasev4 ( const Self &  )

private

Member Function Documentation

virtual SizeValueType itk::GradientDescentOptimizerBasev4::GetCurrentIteration ( ) const

virtual

Get the current iteration number.

Reimplemented in itk::MultiGradientOptimizerv4.

virtual const DerivativeType& itk::GradientDescentOptimizerBasev4::GetGradient ( )

virtual

Get the most recent gradient values.

virtual const char* itk::GradientDescentOptimizerBasev4::GetNameOfClass ( ) const

virtual

Run-time type information (and related methods).

Reimplemented from itk::ObjectToObjectOptimizerBase.

Reimplemented in itk::GradientDescentOptimizerv4, itk::QuasiNewtonOptimizerv4, itk::GradientDescentLineSearchOptimizerv4, itk::ConjugateGradientLineSearchOptimizerv4, and itk::MultiGradientOptimizerv4.

virtual const SizeValueType& itk::GradientDescentOptimizerBasev4::GetNumberOfIterations ( )

virtual

Get the number of iterations.

Reimplemented in itk::MultiGradientOptimizerv4.

virtual const StopConditionType& itk::GradientDescentOptimizerBasev4::GetStopCondition ( )

virtual

Get stop condition enum

Reimplemented in itk::MultiGradientOptimizerv4.

virtual const StopConditionReturnStringType itk::GradientDescentOptimizerBasev4::GetStopConditionDescription ( ) const

virtual

Get the reason for termination

Reimplemented in itk::MultiGradientOptimizerv4.

virtual void itk::GradientDescentOptimizerBasev4::ModifyGradientByLearningRate ( )

virtual

Modify the gradient in place, to advance the optimization. This call performs a threaded modification for transforms with local support (assumed to be dense). Otherwise the modification is performed w/out threading. See EstimateLearningRate() to perform optionaly learning rate estimation. At completion, m_Gradient can be used to update the transform parameters. Derived classes may hold additional results in other member variables.

See Also

EstimateLearningRate()

virtual void itk::GradientDescentOptimizerBasev4::ModifyGradientByLearningRateOverSubRange ( const IndexRangeType &  subrange )

protectedpure virtual

Derived classes define this worker method to modify the gradient by learning rates. Modifications must be performed over the index range defined in subrange. Called from ModifyGradientByLearningRate(), either directly or via threaded operation.

Implemented in itk::GradientDescentOptimizerv4.

virtual void itk::GradientDescentOptimizerBasev4::ModifyGradientByScales ( )

virtual

Modify the gradient in place, to advance the optimization. This call performs a threaded modification for transforms with local support (assumed to be dense). Otherwise the modification is performed w/out threading. See EstimateLearningRate() to perform optionaly learning rate estimation. At completion, m_Gradient can be used to update the transform parameters. Derived classes may hold additional results in other member variables.

See Also

EstimateLearningRate()

virtual void itk::GradientDescentOptimizerBasev4::ModifyGradientByScalesOverSubRange ( const IndexRangeType &  subrange )

protectedpure virtual

Derived classes define this worker method to modify the gradient by scales. Modifications must be performed over the index range defined in subrange. Called from ModifyGradientByScales(), either directly or via threaded operation.

Implemented in itk::GradientDescentOptimizerv4.

void itk::GradientDescentOptimizerBasev4::operator= ( const Self &  )

private

virtual void itk::GradientDescentOptimizerBasev4::PrintSelf ( std::ostream &  os, Indent  indent  ) const

protectedvirtual

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::ObjectToObjectOptimizerBase.

Reimplemented in itk::GradientDescentOptimizerv4, itk::QuasiNewtonOptimizerv4, itk::MultiGradientOptimizerv4, itk::GradientDescentLineSearchOptimizerv4, and itk::ConjugateGradientLineSearchOptimizerv4.

virtual void itk::GradientDescentOptimizerBasev4::ResumeOptimization ( )

pure virtual

Resume optimization. This runs the optimization loop, and allows continuation of stopped optimization

Implemented in itk::GradientDescentOptimizerv4, and itk::MultiGradientOptimizerv4.

virtual void itk::GradientDescentOptimizerBasev4::SetNumberOfIterations ( SizeValueType  _arg )

virtual

Set the number of iterations.

Reimplemented in itk::MultiGradientOptimizerv4.

virtual void itk::GradientDescentOptimizerBasev4::StopOptimization ( void  )

virtual

Stop optimization. The object is left in a state so the optimization can be resumed by calling ResumeOptimization.

Reimplemented in itk::GradientDescentOptimizerv4, and itk::MultiGradientOptimizerv4.

Friends And Related Function Documentation

friend class GradientDescentOptimizerBasev4ModifyGradientByLearningRateThreader

friend

Definition at line 132 of file itkGradientDescentOptimizerBasev4.h.

friend class GradientDescentOptimizerBasev4ModifyGradientByScalesThreader

friend

Definition at line 131 of file itkGradientDescentOptimizerBasev4.h.

Member Data Documentation

SizeValueType itk::GradientDescentOptimizerBasev4::m_CurrentIteration

protected

Definition at line 158 of file itkGradientDescentOptimizerBasev4.h.

DerivativeType itk::GradientDescentOptimizerBasev4::m_Gradient

protected

Current gradient

Definition at line 161 of file itkGradientDescentOptimizerBasev4.h.

GradientDescentOptimizerBasev4ModifyGradientByLearningRateThreader::Pointer itk::GradientDescentOptimizerBasev4::m_ModifyGradientByLearningRateThreader

protected

Definition at line 137 of file itkGradientDescentOptimizerBasev4.h.

GradientDescentOptimizerBasev4ModifyGradientByScalesThreader::Pointer itk::GradientDescentOptimizerBasev4::m_ModifyGradientByScalesThreader

protected

Definition at line 136 of file itkGradientDescentOptimizerBasev4.h.

SizeValueType itk::GradientDescentOptimizerBasev4::m_NumberOfIterations

protected

Definition at line 157 of file itkGradientDescentOptimizerBasev4.h.

bool itk::GradientDescentOptimizerBasev4::m_Stop

protected

Definition at line 154 of file itkGradientDescentOptimizerBasev4.h.

StopConditionType itk::GradientDescentOptimizerBasev4::m_StopCondition

protected

Definition at line 155 of file itkGradientDescentOptimizerBasev4.h.

StopConditionDescriptionType itk::GradientDescentOptimizerBasev4::m_StopConditionDescription

protected

Definition at line 156 of file itkGradientDescentOptimizerBasev4.h.

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

• itkGradientDescentOptimizerBasev4.h