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itk::RegularStepGradientDescentBaseOptimizer Class Reference
[Numerics, Optimizers]

Implement a gradient descent optimizer. More...

#include <itkRegularStepGradientDescentBaseOptimizer.h>

Inheritance diagram for itk::RegularStepGradientDescentBaseOptimizer:

[legend]Collaboration diagram for itk::RegularStepGradientDescentBaseOptimizer:

[legend]List of all members.


Public Types
typedef RegularStepGradientDescentBaseOptimizer	Self
typedef SingleValuedNonLinearOptimizer	Superclass
typedef SmartPointer< Self >	Pointer
typedef SmartPointer< const Self >	ConstPointer
enum	StopConditionType { GradientMagnitudeTolerance = 1, StepTooSmall, ImageNotAvailable, SamplesNotAvailable, MaximumNumberOfIterations }
Public Member Functions
virtual const char *	GetClassName () const
void	StartOptimization (void)
void	ResumeOptimization (void)
void	StopOptimization (void)

virtual void	SetMaximize (bool _arg)
virtual bool	GetMaximize () const
virtual void	MaximizeOn ()
virtual void	MaximizeOff ()
bool	GetMinimize () const
void	SetMinimize (bool v)
void	MinimizeOn (void)
void	MinimizeOff (void)

virtual void	SetMaximumStepLength (double _arg)
virtual void	SetMinimumStepLength (double _arg)
virtual void	SetNumberOfIterations (unsigned long _arg)
virtual void	SetGradientMagnitudeTolerance (double _arg)
virtual double	GetCurrentStepLength () const
virtual double	GetMaximumStepLength () const
virtual double	GetMinimumStepLength () const
virtual unsigned long	GetNumberOfIterations () const
virtual double	GetGradientMagnitudeTolerance () const
virtual unsigned int	GetCurrentIteration () const
virtual StopConditionType	GetStopCondition () const
virtual MeasureType	GetValue () const
Static Public Member Functions
Pointer	New ()
Protected Member Functions
	RegularStepGradientDescentBaseOptimizer ()
virtual	~RegularStepGradientDescentBaseOptimizer ()
void	PrintSelf (std::ostream &os, Indent indent) const
virtual void	AdvanceOneStep (void)

virtual void	StepAlongGradient (double, const DerivativeType &)
Protected Attributes
DerivativeType	m_Gradient
DerivativeType	m_PreviousGradient
bool	m_Stop
bool	m_Maximize
MeasureType	m_Value
double	m_GradientMagnitudeTolerance
double	m_MaximumStepLength
double	m_MinimumStepLength
double	m_CurrentStepLength
StopConditionType	m_StopCondition
unsigned long	m_NumberOfIterations
unsigned long	m_CurrentIteration

Detailed Description

Implement a gradient descent optimizer.

Definition at line 30 of file itkRegularStepGradientDescentBaseOptimizer.h.

Member Typedef Documentation

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

Reimplemented from itk::SingleValuedNonLinearOptimizer.

Reimplemented in itk::RegularStepGradientDescentOptimizer, and itk::VersorTransformOptimizer.
Definition at line 38 of file itkRegularStepGradientDescentBaseOptimizer.h.

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

Reimplemented from itk::SingleValuedNonLinearOptimizer.

Reimplemented in itk::RegularStepGradientDescentOptimizer, and itk::VersorTransformOptimizer.
Definition at line 37 of file itkRegularStepGradientDescentBaseOptimizer.h.

typedef RegularStepGradientDescentBaseOptimizer itk::RegularStepGradientDescentBaseOptimizer::Self

Standard "Self" typedef.
Reimplemented from itk::SingleValuedNonLinearOptimizer.

Reimplemented in itk::RegularStepGradientDescentOptimizer, and itk::VersorTransformOptimizer.
Definition at line 35 of file itkRegularStepGradientDescentBaseOptimizer.h.

typedef SingleValuedNonLinearOptimizer itk::RegularStepGradientDescentBaseOptimizer::Superclass

Reimplemented from itk::SingleValuedNonLinearOptimizer.

Reimplemented in itk::RegularStepGradientDescentOptimizer, and itk::VersorTransformOptimizer.
Definition at line 36 of file itkRegularStepGradientDescentBaseOptimizer.h.

Member Enumeration Documentation

enum itk::RegularStepGradientDescentBaseOptimizer::StopConditionType

Codes of stopping conditions.
Enumeration values:

GradientMagnitudeTolerance

StepTooSmall

ImageNotAvailable

SamplesNotAvailable

MaximumNumberOfIterations

Definition at line 49 of file itkRegularStepGradientDescentBaseOptimizer.h.

Constructor & Destructor Documentation

itk::RegularStepGradientDescentBaseOptimizer::RegularStepGradientDescentBaseOptimizer ( ) [protected]

virtual itk::RegularStepGradientDescentBaseOptimizer::~RegularStepGradientDescentBaseOptimizer ( ) [inline, protected, virtual]

Definition at line 100 of file itkRegularStepGradientDescentBaseOptimizer.h.

Member Function Documentation

virtual void itk::RegularStepGradientDescentBaseOptimizer::AdvanceOneStep ( void ) [protected, virtual]

Advance one step following the gradient direction This method verifies if a change in direction is required and if a reduction in steplength is required.

virtual const char* itk::RegularStepGradientDescentBaseOptimizer::GetClassName ( ) const [virtual]

Run-time type information (and related methods).
Reimplemented from itk::SingleValuedNonLinearOptimizer.

Reimplemented in itk::RegularStepGradientDescentOptimizer, and itk::VersorTransformOptimizer.

virtual unsigned int itk::RegularStepGradientDescentBaseOptimizer::GetCurrentIteration ( ) const [virtual]

Set/Get parameters to control the optimization process.

virtual double itk::RegularStepGradientDescentBaseOptimizer::GetCurrentStepLength ( ) const [virtual]

Set/Get parameters to control the optimization process.

virtual double itk::RegularStepGradientDescentBaseOptimizer::GetGradientMagnitudeTolerance ( ) const [virtual]

Set/Get parameters to control the optimization process.

virtual bool itk::RegularStepGradientDescentBaseOptimizer::GetMaximize ( ) const [virtual]

Specify whether to minimize or maximize the cost function.

virtual double itk::RegularStepGradientDescentBaseOptimizer::GetMaximumStepLength ( ) const [virtual]

Set/Get parameters to control the optimization process.

bool itk::RegularStepGradientDescentBaseOptimizer::GetMinimize ( ) const [inline]

Specify whether to minimize or maximize the cost function. Definition at line 61 of file itkRegularStepGradientDescentBaseOptimizer.h.

virtual double itk::RegularStepGradientDescentBaseOptimizer::GetMinimumStepLength ( ) const [virtual]

Set/Get parameters to control the optimization process.

virtual unsigned long itk::RegularStepGradientDescentBaseOptimizer::GetNumberOfIterations ( ) const [virtual]

Set/Get parameters to control the optimization process.

virtual StopConditionType itk::RegularStepGradientDescentBaseOptimizer::GetStopCondition ( ) const [virtual]

Set/Get parameters to control the optimization process.

virtual MeasureType itk::RegularStepGradientDescentBaseOptimizer::GetValue ( ) const [virtual]

Set/Get parameters to control the optimization process.

virtual void itk::RegularStepGradientDescentBaseOptimizer::MaximizeOff ( ) [virtual]

Specify whether to minimize or maximize the cost function.

virtual void itk::RegularStepGradientDescentBaseOptimizer::MaximizeOn ( ) [virtual]

Specify whether to minimize or maximize the cost function.

void itk::RegularStepGradientDescentBaseOptimizer::MinimizeOff ( void ) [inline]

Specify whether to minimize or maximize the cost function. Definition at line 67 of file itkRegularStepGradientDescentBaseOptimizer.h.

void itk::RegularStepGradientDescentBaseOptimizer::MinimizeOn ( void ) [inline]

Specify whether to minimize or maximize the cost function. Definition at line 65 of file itkRegularStepGradientDescentBaseOptimizer.h.

Pointer itk::RegularStepGradientDescentBaseOptimizer::New ( ) [static]

Method for creation through the object factory.
Reimplemented from itk::SingleValuedNonLinearOptimizer.

Reimplemented in itk::RegularStepGradientDescentOptimizer, and itk::VersorTransformOptimizer.

void itk::RegularStepGradientDescentBaseOptimizer::PrintSelf ( std::ostream & os,

Indent indent

) const [protected, virtual]

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::SingleValuedNonLinearOptimizer.

void itk::RegularStepGradientDescentBaseOptimizer::ResumeOptimization ( void )

Resume previously stopped optimization with current parameters.
See also:
StopOptimization

virtual void itk::RegularStepGradientDescentBaseOptimizer::SetGradientMagnitudeTolerance ( double _arg ) [virtual]

Set/Get parameters to control the optimization process.

virtual void itk::RegularStepGradientDescentBaseOptimizer::SetMaximize ( bool _arg ) [virtual]

Specify whether to minimize or maximize the cost function.

virtual void itk::RegularStepGradientDescentBaseOptimizer::SetMaximumStepLength ( double _arg ) [virtual]

Set/Get parameters to control the optimization process.

void itk::RegularStepGradientDescentBaseOptimizer::SetMinimize ( bool v ) [inline]

Specify whether to minimize or maximize the cost function. Definition at line 63 of file itkRegularStepGradientDescentBaseOptimizer.h.

virtual void itk::RegularStepGradientDescentBaseOptimizer::SetMinimumStepLength ( double _arg ) [virtual]

Set/Get parameters to control the optimization process.

virtual void itk::RegularStepGradientDescentBaseOptimizer::SetNumberOfIterations ( unsigned long _arg ) [virtual]

Set/Get parameters to control the optimization process.

void itk::RegularStepGradientDescentBaseOptimizer::StartOptimization ( void ) [virtual]

Start optimization.
Reimplemented from itk::Optimizer.

virtual void itk::RegularStepGradientDescentBaseOptimizer::StepAlongGradient ( double ,

const DerivativeType &

) [inline, protected, virtual]

Advance one step along the corrected gradient taking into account the steplength represented by factor. This method is invoked by AdvanceOneStep. It is expected to be overrided by optimization methods in non-vector spaces
See also:
AdvanceOneStep

Reimplemented in itk::RegularStepGradientDescentOptimizer, and itk::VersorTransformOptimizer.
Definition at line 113 of file itkRegularStepGradientDescentBaseOptimizer.h.