itk::LBFGSOptimizer Class Reference

#include <itkLBFGSOptimizer.h>

Inheritance diagram for itk::LBFGSOptimizer:

Collaboration diagram for itk::LBFGSOptimizer:

Detailed Description

Wrap of the vnl_lbfgs algorithm.

Definition at line 32 of file itkLBFGSOptimizer.h.

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef vnl_lbfgs	InternalOptimizerType
typedef vnl_vector< double >	InternalParametersType
typedef SmartPointer< Self >	Pointer
typedef LBFGSOptimizer	Self
typedef SingleValuedNonLinearVnlOptimizer	Superclass
Public Types inherited from itk::SingleValuedNonLinearVnlOptimizer
typedef ReceptorMemberCommand < Self >	CommandType
typedef SmartPointer< const Self >	ConstPointer
typedef SmartPointer< Self >	Pointer
typedef SingleValuedNonLinearVnlOptimizer	Self
typedef SingleValuedNonLinearOptimizer	Superclass
Public Types inherited from itk::SingleValuedNonLinearOptimizer
typedef SmartPointer< const Self >	ConstPointer
typedef CostFunctionType::Pointer	CostFunctionPointer
typedef SingleValuedCostFunction	CostFunctionType
typedef CostFunctionType::DerivativeType	DerivativeType
typedef CostFunctionType::MeasureType	MeasureType
typedef Superclass::ParametersType	ParametersType
typedef SmartPointer< Self >	Pointer
typedef SingleValuedNonLinearOptimizer	Self
typedef NonLinearOptimizer	Superclass
Public Types inherited from itk::NonLinearOptimizer
typedef SmartPointer< const Self >	ConstPointer
typedef Superclass::ParametersType	ParametersType
typedef SmartPointer< Self >	Pointer
typedef Superclass::ScalesType	ScalesType
typedef NonLinearOptimizer	Self
typedef Optimizer	Superclass
Public Types inherited from itk::Optimizer
typedef SmartPointer< const Self >	ConstPointer
typedef OptimizerParameters < double >	ParametersType
typedef SmartPointer< Self >	Pointer
typedef Array< double >	ScalesType
typedef Optimizer	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 ::itk::LightObject::Pointer	CreateAnother (void) const
virtual double	GetDefaultStepLength ()
virtual double	GetGradientConvergenceTolerance ()
virtual double	GetLineSearchAccuracy ()
virtual unsigned int	GetMaximumNumberOfFunctionEvaluations ()
virtual const char *	GetNameOfClass () const
vnl_lbfgs *	GetOptimizer (void)
const std::string	GetStopConditionDescription () const
virtual bool	GetTrace ()
MeasureType	GetValue () const
virtual void	SetCostFunction (SingleValuedCostFunction *costFunction)
virtual void	SetDefaultStepLength (double stp)
virtual void	SetGradientConvergenceTolerance (double gtol)
virtual void	SetLineSearchAccuracy (double tol)
virtual void	SetMaximumNumberOfFunctionEvaluations (unsigned int n)
virtual void	SetTrace (bool flag)
void	StartOptimization (void)
virtual void	TraceOff ()
virtual void	TraceOn ()
Public Member Functions inherited from itk::SingleValuedNonLinearVnlOptimizer
virtual const bool &	GetMaximize ()
virtual void	SetMaximize (bool _arg)
virtual void	MaximizeOn ()
virtual void	MaximizeOff ()
bool	GetMinimize () const
void	SetMinimize (bool v)
void	MinimizeOn ()
void	MinimizeOff ()
virtual const MeasureType &	GetCachedValue ()
virtual const DerivativeType &	GetCachedDerivative ()
virtual const ParametersType &	GetCachedCurrentPosition ()
Public Member Functions inherited from itk::SingleValuedNonLinearOptimizer
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
virtual const CostFunctionType *	GetCostFunction () const
virtual CostFunctionType *	GetModifiableCostFunction ()
MeasureType	GetValue (const ParametersType &parameters) const
virtual void	SetCostFunction (CostFunctionType *costFunction)

Static Public Member Functions
static Pointer	New ()

Protected Types
typedef Superclass::CostFunctionAdaptorType	CostFunctionAdaptorType
Protected Types inherited from itk::SingleValuedNonLinearVnlOptimizer
typedef SingleValuedVnlCostFunctionAdaptor	CostFunctionAdaptorType

Protected Member Functions
	LBFGSOptimizer ()
void	PrintSelf (std::ostream &os, Indent indent) const
virtual	~LBFGSOptimizer ()
Protected Member Functions inherited from itk::SingleValuedNonLinearVnlOptimizer
const CostFunctionAdaptorType *	GetCostFunctionAdaptor (void) const
CostFunctionAdaptorType *	GetCostFunctionAdaptor (void)
CostFunctionAdaptorType *	GetNonConstCostFunctionAdaptor (void) const
void	PrintSelf (std::ostream &os, Indent indent) const
void	SetCostFunctionAdaptor (CostFunctionAdaptorType *adaptor)
	SingleValuedNonLinearVnlOptimizer ()
virtual	~SingleValuedNonLinearVnlOptimizer ()
Protected Member Functions inherited from itk::SingleValuedNonLinearOptimizer
	SingleValuedNonLinearOptimizer ()
virtual	~SingleValuedNonLinearOptimizer ()
Protected Member Functions inherited from itk::NonLinearOptimizer
	NonLinearOptimizer ()
virtual	~NonLinearOptimizer ()
Protected Member Functions inherited from itk::Optimizer
	Optimizer ()
virtual void	SetCurrentPosition (const ParametersType &param)
virtual	~Optimizer ()
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 ()

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

Private Attributes
double	m_DefaultStepLength
double	m_GradientConvergenceTolerance
double	m_LineSearchAccuracy
unsigned int	m_MaximumNumberOfFunctionEvaluations
bool	m_OptimizerInitialized
std::ostringstream	m_StopConditionDescription
bool	m_Trace
InternalOptimizerType *	m_VnlOptimizer

Additional Inherited Members
Protected Attributes inherited from itk::SingleValuedNonLinearOptimizer
CostFunctionPointer	m_CostFunction

Member Typedef Documentation

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

Definition at line 40 of file itkLBFGSOptimizer.h.

typedef Superclass::CostFunctionAdaptorType itk::LBFGSOptimizer::CostFunctionAdaptorType

protected

Definition at line 114 of file itkLBFGSOptimizer.h.

typedef vnl_lbfgs itk::LBFGSOptimizer::InternalOptimizerType

Internal optimizer type.

Definition at line 52 of file itkLBFGSOptimizer.h.

typedef vnl_vector< double > itk::LBFGSOptimizer::InternalParametersType

InternalParameters typedef.

Definition at line 46 of file itkLBFGSOptimizer.h.

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

Definition at line 39 of file itkLBFGSOptimizer.h.

typedef LBFGSOptimizer itk::LBFGSOptimizer::Self

Standard "Self" typedef.

Definition at line 37 of file itkLBFGSOptimizer.h.

typedef SingleValuedNonLinearVnlOptimizer itk::LBFGSOptimizer::Superclass

Definition at line 38 of file itkLBFGSOptimizer.h.

Constructor & Destructor Documentation

itk::LBFGSOptimizer::LBFGSOptimizer ( )

protected

virtual itk::LBFGSOptimizer::~LBFGSOptimizer ( )

protectedvirtual

itk::LBFGSOptimizer::LBFGSOptimizer ( const Self &  )

private

Member Function Documentation

virtual::itk::LightObject::Pointer itk::LBFGSOptimizer::CreateAnother ( void  ) const

virtual

Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.

Reimplemented from itk::Object.

virtual double itk::LBFGSOptimizer::GetDefaultStepLength ( )

virtual

virtual double itk::LBFGSOptimizer::GetGradientConvergenceTolerance ( )

virtual

virtual double itk::LBFGSOptimizer::GetLineSearchAccuracy ( )

virtual

virtual unsigned int itk::LBFGSOptimizer::GetMaximumNumberOfFunctionEvaluations ( )

virtual

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

virtual

Run-time type information (and related methods).

Reimplemented from itk::SingleValuedNonLinearVnlOptimizer.

vnl_lbfgs* itk::LBFGSOptimizer::GetOptimizer

(

void

)

Method for getting access to the internal optimizer.

const std::string itk::LBFGSOptimizer::GetStopConditionDescription ( ) const

virtual

Get the reason for termination

Reimplemented from itk::Optimizer.

virtual bool itk::LBFGSOptimizer::GetTrace ( )

virtual

MeasureType itk::LBFGSOptimizer::GetValue

(

)

const

Return Current Value

static Pointer itk::LBFGSOptimizer::New ( )

static

Method for creation through the object factory.

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

private

void itk::LBFGSOptimizer::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::Object.

virtual void itk::LBFGSOptimizer::SetCostFunction ( SingleValuedCostFunction *  costFunction )

virtual

Plug in a Cost Function into the optimizer

Implements itk::SingleValuedNonLinearVnlOptimizer.

virtual void itk::LBFGSOptimizer::SetDefaultStepLength ( double  stp )

virtual

Set/Get the default step size. This is a positive real number with a default value of 1.0 which determines the stpe size in the line search.

virtual void itk::LBFGSOptimizer::SetGradientConvergenceTolerance ( double  gtol )

virtual

Set/Get the gradient convergence tolerance. This is a positive real number that determines the accuracy with which the solution is to be found. The optimization terminates when: ||G|| < gtol max(1,||X||) where ||.|| denotes the Euclidean norm.

virtual void itk::LBFGSOptimizer::SetLineSearchAccuracy ( double  tol )

virtual

Set/Get the line search accuracy. This is a positive real number with a default value of 0.9, which controls the accuracy of the line search. If the function and gradient evalutions are inexpensive with respect to the cost of the iterations it may be advantageous to set the value to a small value (say 0.1).

virtual void itk::LBFGSOptimizer::SetMaximumNumberOfFunctionEvaluations ( unsigned int  n )

virtual

Set/Get the maximum number of function evaluations allowed.

virtual void itk::LBFGSOptimizer::SetTrace ( bool  flag )

virtual

Set/Get the optimizer trace flag. If set to true, the optimizer prints out information every iteration.

void itk::LBFGSOptimizer::StartOptimization ( void  )

virtual

Start optimization with an initial value.

Reimplemented from itk::Optimizer.

virtual void itk::LBFGSOptimizer::TraceOff ( )

virtual

virtual void itk::LBFGSOptimizer::TraceOn ( )

virtual

Member Data Documentation

double itk::LBFGSOptimizer::m_DefaultStepLength

private

Definition at line 128 of file itkLBFGSOptimizer.h.

double itk::LBFGSOptimizer::m_GradientConvergenceTolerance

private

Definition at line 126 of file itkLBFGSOptimizer.h.

double itk::LBFGSOptimizer::m_LineSearchAccuracy

private

Definition at line 127 of file itkLBFGSOptimizer.h.

unsigned int itk::LBFGSOptimizer::m_MaximumNumberOfFunctionEvaluations

private

Definition at line 125 of file itkLBFGSOptimizer.h.

bool itk::LBFGSOptimizer::m_OptimizerInitialized

private

Definition at line 120 of file itkLBFGSOptimizer.h.

std::ostringstream itk::LBFGSOptimizer::m_StopConditionDescription

mutableprivate

Definition at line 122 of file itkLBFGSOptimizer.h.

bool itk::LBFGSOptimizer::m_Trace

private

Definition at line 124 of file itkLBFGSOptimizer.h.

InternalOptimizerType* itk::LBFGSOptimizer::m_VnlOptimizer

private

Definition at line 121 of file itkLBFGSOptimizer.h.

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

• itkLBFGSOptimizer.h