itk::LineSearchOptimizer Class Reference

#include <itkLineSearchOptimizer.h>

Detailed Description

A base class for LineSearch optimizers.

Scales are expected to be handled by the main optimizer.

Definition at line 37 of file itkLineSearchOptimizer.h.

Inheritance diagram for itk::LineSearchOptimizer:

Public Types
using	ConstPointer = SmartPointer<const Self>
using	Pointer = SmartPointer<Self>
using	Self = LineSearchOptimizer
using	Superclass = SingleValuedNonLinearOptimizer

Public Member Functions
virtual const char *	GetClassName () const
virtual void	GetCurrentDerivative (DerivativeType &derivative) const =0
virtual double	GetCurrentStepLength () const
virtual MeasureType	GetCurrentValue () const =0
virtual void	GetCurrentValueAndDerivative (MeasureType &value, DerivativeType &derivative) const =0
virtual double	GetInitialStepLengthEstimate () const
virtual const ParametersType &	GetLineSearchDirection ()
virtual double	GetMaximumStepLength () const
virtual double	GetMinimumStepLength () const
	ITK_DISALLOW_COPY_AND_MOVE (LineSearchOptimizer)
virtual void	SetInitialDerivative (const DerivativeType &)
virtual void	SetInitialStepLengthEstimate (double _arg)
virtual void	SetInitialValue (MeasureType)
virtual void	SetLineSearchDirection (const ParametersType &arg)
virtual void	SetMaximumStepLength (double _arg)
virtual void	SetMinimumStepLength (double _arg)

Protected Member Functions
double	DirectionalDerivative (const DerivativeType &derivative) const
	LineSearchOptimizer ()
void	PrintSelf (std::ostream &os, Indent indent) const override
virtual void	SetCurrentStepLength (double step)
	~LineSearchOptimizer () override=default

Protected Attributes
double	m_CurrentStepLength {}

Private Attributes
double	m_InitialStepLengthEstimate {}
ParametersType	m_LineSearchDirection {}
double	m_MaximumStepLength {}
double	m_MinimumStepLength {}

Member Typedef Documentation

ConstPointer

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

Definition at line 45 of file itkLineSearchOptimizer.h.

Pointer

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

Definition at line 44 of file itkLineSearchOptimizer.h.

Self

using itk::LineSearchOptimizer::Self = LineSearchOptimizer

Definition at line 42 of file itkLineSearchOptimizer.h.

Superclass

using itk::LineSearchOptimizer::Superclass = SingleValuedNonLinearOptimizer

Definition at line 43 of file itkLineSearchOptimizer.h.

Constructor & Destructor Documentation

LineSearchOptimizer()

itk::LineSearchOptimizer::LineSearchOptimizer ( )

protected

~LineSearchOptimizer()

itk::LineSearchOptimizer::~LineSearchOptimizer ( )

overrideprotecteddefault

Member Function Documentation

DirectionalDerivative()

double itk::LineSearchOptimizer::DirectionalDerivative ( const DerivativeType & derivative ) const

protected

Computes the inner product of the argument and the line search direction.

GetClassName()

virtual const char * itk::LineSearchOptimizer::GetClassName ( ) const

virtual

Reimplemented in itk::MoreThuenteLineSearchOptimizer.

GetCurrentDerivative()

virtual void itk::LineSearchOptimizer::GetCurrentDerivative ( DerivativeType & derivative ) const

pure virtual

Implemented in itk::MoreThuenteLineSearchOptimizer.

GetCurrentStepLength()

virtual double itk::LineSearchOptimizer::GetCurrentStepLength ( ) const

virtual

StepLength is a a scalar, defined as: m_InitialPosition + StepLength * m_LineSearchDirection = m_CurrentPosition

GetCurrentValue()

virtual MeasureType itk::LineSearchOptimizer::GetCurrentValue ( ) const

pure virtual

Implemented in itk::MoreThuenteLineSearchOptimizer.

GetCurrentValueAndDerivative()

virtual void itk::LineSearchOptimizer::GetCurrentValueAndDerivative ( MeasureType & value, DerivativeType & derivative ) const

pure virtual

These methods must be implemented by inheriting classes. It depends on the specific line search algorithm if it already computed the value/derivative at the current position (in this case it can just copy the cached data). If it did not compute the value/derivative, it should call the cost function and evaluate the value/derivative at the current position.

These methods allow the main optimization algorithm to reuse data that the LineSearch algorithm already computed.

Implemented in itk::MoreThuenteLineSearchOptimizer.

GetInitialStepLengthEstimate()

virtual double itk::LineSearchOptimizer::GetInitialStepLengthEstimate ( ) const

virtual

GetLineSearchDirection()

virtual const ParametersType & itk::LineSearchOptimizer::GetLineSearchDirection ( )

virtual

GetMaximumStepLength()

virtual double itk::LineSearchOptimizer::GetMaximumStepLength ( ) const

virtual

GetMinimumStepLength()

virtual double itk::LineSearchOptimizer::GetMinimumStepLength ( ) const

virtual

ITK_DISALLOW_COPY_AND_MOVE()

itk::LineSearchOptimizer::ITK_DISALLOW_COPY_AND_MOVE

(

LineSearchOptimizer

)

PrintSelf()

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

overrideprotected

SetCurrentStepLength()

virtual void itk::LineSearchOptimizer::SetCurrentStepLength ( double step )

protectedvirtual

Set the current step length AND the current position, where the current position is computed as: m_CurrentPosition = m_InitialPosition + StepLength * m_LineSearchDirection

SetInitialDerivative()

virtual void itk::LineSearchOptimizer::SetInitialDerivative ( const DerivativeType & )

inlinevirtual

Inheriting classes may override these methods if they need value/derivative information of the cost function at the initial position.

NB: It is not guaranteed that these methods are called. If a main optimizer by chance has this information, it should call these methods, to avoid possible unnecessary computations.

Reimplemented in itk::MoreThuenteLineSearchOptimizer.

Definition at line 76 of file itkLineSearchOptimizer.h.

SetInitialStepLengthEstimate()

virtual void itk::LineSearchOptimizer::SetInitialStepLengthEstimate ( double _arg )

virtual

SetInitialValue()

virtual void itk::LineSearchOptimizer::SetInitialValue ( MeasureType )

inlinevirtual

Reimplemented in itk::MoreThuenteLineSearchOptimizer.

Definition at line 79 of file itkLineSearchOptimizer.h.

SetLineSearchDirection()

virtual void itk::LineSearchOptimizer::SetLineSearchDirection ( const ParametersType & arg )

inlinevirtual

Set/Get the LineSearchDirection

Definition at line 57 of file itkLineSearchOptimizer.h.

SetMaximumStepLength()

virtual void itk::LineSearchOptimizer::SetMaximumStepLength ( double _arg )

virtual

SetMinimumStepLength()

virtual void itk::LineSearchOptimizer::SetMinimumStepLength ( double _arg )

virtual

Settings: the maximum/minimum step length and the initial estimate. NOTE: Not all line search methods are guaranteed to do something with this information. However, if a certain optimizer (using a line search optimizer) has any idea about the steplength it can call these methods, 'in the hope' that the line search optimizer does something sensible with it.

Field Documentation

m_CurrentStepLength

double itk::LineSearchOptimizer::m_CurrentStepLength {}

protected

Definition at line 130 of file itkLineSearchOptimizer.h.

m_InitialStepLengthEstimate

double itk::LineSearchOptimizer::m_InitialStepLengthEstimate {}

private

Definition at line 149 of file itkLineSearchOptimizer.h.

m_LineSearchDirection

ParametersType itk::LineSearchOptimizer::m_LineSearchDirection {}

private

Definition at line 145 of file itkLineSearchOptimizer.h.

m_MaximumStepLength

double itk::LineSearchOptimizer::m_MaximumStepLength {}

private

Definition at line 148 of file itkLineSearchOptimizer.h.

m_MinimumStepLength

double itk::LineSearchOptimizer::m_MinimumStepLength {}

private

Definition at line 147 of file itkLineSearchOptimizer.h.