#include <itkAdaptiveStochasticLBFGSOptimizer.h>

Detailed Description

Definition at line 69 of file itkAdaptiveStochasticLBFGSOptimizer.h.

Inheritance diagram for itk::AdaptiveStochasticLBFGSOptimizer:

Public Types
using	ConstPointer = SmartPointer<const Self>
using	Pointer = SmartPointer<Self>
using	Self = AdaptiveStochasticLBFGSOptimizer
using	Superclass = StandardStochasticGradientOptimizer
Public Types inherited from itk::StandardStochasticGradientOptimizer
using	ConstPointer = SmartPointer<const Self>
using	Pointer = SmartPointer<Self>
using	Self = StandardStochasticGradientOptimizer
enum	StopConditionType
using	Superclass = StochasticGradientDescentOptimizer
Public Types inherited from itk::StochasticGradientDescentOptimizer
using	ConstPointer = SmartPointer<const Self>
using	Pointer = SmartPointer<Self>
using	ScaledCostFunctionPointer
using	ScaledCostFunctionType
using	ScalesType
using	Self = StochasticGradientDescentOptimizer
enum	StopConditionType { MaximumNumberOfIterations , MetricError , MinimumStepSize , InvalidDiagonalMatrix , GradientMagnitudeTolerance , LineSearchError }
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 Member Functions
virtual double	GetSigmoidMax () const
virtual double	GetSigmoidMin () const
virtual double	GetSigmoidScale () const
virtual bool	GetUseAdaptiveStepSizes () const
virtual bool	GetUseSearchDirForAdaptiveStepSize () const
	ITK_DISALLOW_COPY_AND_MOVE (AdaptiveStochasticLBFGSOptimizer)
	itkOverrideGetNameOfClassMacro (AdaptiveStochasticLBFGSOptimizer)
virtual void	SetSigmoidMax (double _arg)
virtual void	SetSigmoidMin (double _arg)
virtual void	SetSigmoidScale (double _arg)
virtual void	SetUseAdaptiveStepSizes (bool _arg)
virtual void	SetUseSearchDirForAdaptiveStepSize (bool _arg)
Public Member Functions inherited from itk::StandardStochasticGradientOptimizer
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
virtual double	GetParam_beta () const
	ITK_DISALLOW_COPY_AND_MOVE (StandardStochasticGradientOptimizer)
	itkOverrideGetNameOfClassMacro (StandardStochasticGradientOptimizer)
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)
virtual void	SetParam_beta (double _arg)
void	StartOptimization () override
Public Member Functions inherited from itk::StochasticGradientDescentOptimizer
virtual unsigned int	GetCurrentInnerIteration () const
virtual unsigned int	GetCurrentIteration () const
virtual const DerivativeType &	GetGradient ()
virtual unsigned int	GetLBFGSMemory () const
virtual const double &	GetLearningRate ()
virtual const unsigned long &	GetNumberOfInnerIterations ()
virtual const unsigned long &	GetNumberOfIterations ()
virtual const DerivativeType &	GetPreviousGradient ()
virtual const ParametersType &	GetPreviousPosition ()
virtual const DerivativeType &	GetSearchDir ()
virtual const StopConditionType &	GetStopCondition ()
virtual const double &	GetValue ()
	ITK_DISALLOW_COPY_AND_MOVE (StochasticGradientDescentOptimizer)
	itkOverrideGetNameOfClassMacro (StochasticGradientDescentOptimizer)
virtual void	MetricErrorResponse (ExceptionObject &err)
virtual void	ResumeOptimization ()
virtual void	SetLearningRate (double _arg)
virtual void	SetNumberOfIterations (unsigned long _arg)
void	SetNumberOfWorkUnits (ThreadIdType numberOfThreads)
virtual void	SetPreviousGradient (DerivativeType _arg)
virtual void	SetPreviousPosition (ParametersType _arg)
virtual void	SetUseEigen (bool _arg)
virtual void	SetUseMultiThread (bool _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)
	itkOverrideGetNameOfClassMacro (ScaledSingleValuedNonLinearOptimizer)
virtual void	MaximizeOff ()
virtual void	MaximizeOn ()
void	SetCostFunction (CostFunctionType *costFunction) override
virtual void	SetMaximize (bool _arg)
virtual void	SetUseScales (bool arg)

Static Public Member Functions
static Pointer	New ()
Static Public Member Functions inherited from itk::StandardStochasticGradientOptimizer
static Pointer	New ()
Static Public Member Functions inherited from itk::StochasticGradientDescentOptimizer
static Pointer	New ()
Static Public Member Functions inherited from itk::ScaledSingleValuedNonLinearOptimizer
static Pointer	New ()

Protected Member Functions
	AdaptiveStochasticLBFGSOptimizer ()
void	UpdateCurrentTime () override
	~AdaptiveStochasticLBFGSOptimizer () override=default
Protected Member Functions inherited from itk::StandardStochasticGradientOptimizer
virtual double	Compute_a (double k) const
virtual double	Compute_beta (double k) const
	StandardStochasticGradientOptimizer ()
	~StandardStochasticGradientOptimizer () override=default
Protected Member Functions inherited from itk::StochasticGradientDescentOptimizer
void	PrintSelf (std::ostream &os, Indent indent) const override
	StochasticGradientDescentOptimizer ()
	~StochasticGradientDescentOptimizer () 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 Attributes
double	m_SearchLengthScale { 10 }
std::string	m_StepSizeStrategy {}
unsigned long	m_UpdateFrequenceL {}
bool	m_UseAdaptiveStepSizes { true }
bool	m_UseSearchDirForAdaptiveStepSize {}
Protected Attributes inherited from itk::StandardStochasticGradientOptimizer
double	m_CurrentTime { 0.0 }
bool	m_UseConstantStep {}
Protected Attributes inherited from itk::StochasticGradientDescentOptimizer
unsigned long	m_CurrentInnerIteration {}
unsigned long	m_CurrentIteration { 0 }
DerivativeType	m_Gradient {}
unsigned long	m_LBFGSMemory { 0 }
double	m_LearningRate { 1.0 }
ParametersType	m_MeanSearchDir {}
unsigned long	m_NumberOfInnerIterations {}
unsigned long	m_NumberOfIterations { 100 }
DerivativeType	m_PrePreviousGradient {}
ParametersType	m_PrePreviousSearchDir {}
DerivativeType	m_PreviousGradient {}
ParametersType	m_PreviousPosition {}
ParametersType	m_PreviousSearchDir {}
ParametersType	m_SearchDir {}
bool	m_Stop { false }
StopConditionType	m_StopCondition { MaximumNumberOfIterations }
MultiThreaderBase::Pointer	m_Threader { MultiThreaderBase::New() }
double	m_Value { 0.0 }
Protected Attributes inherited from itk::ScaledSingleValuedNonLinearOptimizer
ScaledCostFunctionPointer	m_ScaledCostFunction {}
ParametersType	m_ScaledCurrentPosition {}

Private Attributes
double	m_SigmoidMax { 1.0 }
double	m_SigmoidMin { -0.8 }
double	m_SigmoidScale { 1e-8 }

Additional Inherited Members
Protected Types inherited from itk::StochasticGradientDescentOptimizer
using	ThreadInfoType = MultiThreaderBase::WorkUnitInfo

Member Typedef Documentation

◆ ConstPointer

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

Definition at line 78 of file itkAdaptiveStochasticLBFGSOptimizer.h.

◆ Pointer

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

Definition at line 77 of file itkAdaptiveStochasticLBFGSOptimizer.h.

◆ Self

using itk::AdaptiveStochasticLBFGSOptimizer::Self = AdaptiveStochasticLBFGSOptimizer

Standard ITK.

Definition at line 75 of file itkAdaptiveStochasticLBFGSOptimizer.h.

◆ Superclass

using itk::AdaptiveStochasticLBFGSOptimizer::Superclass = StandardStochasticGradientOptimizer

Definition at line 76 of file itkAdaptiveStochasticLBFGSOptimizer.h.

Constructor & Destructor Documentation

◆ AdaptiveStochasticLBFGSOptimizer()

itk::AdaptiveStochasticLBFGSOptimizer::AdaptiveStochasticLBFGSOptimizer ( )

protected

◆ ~AdaptiveStochasticLBFGSOptimizer()

itk::AdaptiveStochasticLBFGSOptimizer::~AdaptiveStochasticLBFGSOptimizer ( )

overrideprotecteddefault

Member Function Documentation

◆ GetSigmoidMax()

virtual double itk::AdaptiveStochasticLBFGSOptimizer::GetSigmoidMax ( ) const

virtual

◆ GetSigmoidMin()

virtual double itk::AdaptiveStochasticLBFGSOptimizer::GetSigmoidMin ( ) const

virtual

◆ GetSigmoidScale()

virtual double itk::AdaptiveStochasticLBFGSOptimizer::GetSigmoidScale ( ) const

virtual

◆ GetUseAdaptiveStepSizes()

virtual bool itk::AdaptiveStochasticLBFGSOptimizer::GetUseAdaptiveStepSizes ( ) const

virtual

◆ GetUseSearchDirForAdaptiveStepSize()

virtual bool itk::AdaptiveStochasticLBFGSOptimizer::GetUseSearchDirForAdaptiveStepSize ( ) const

virtual

◆ ITK_DISALLOW_COPY_AND_MOVE()

itk::AdaptiveStochasticLBFGSOptimizer::ITK_DISALLOW_COPY_AND_MOVE ( AdaptiveStochasticLBFGSOptimizer )

◆ itkOverrideGetNameOfClassMacro()

itk::AdaptiveStochasticLBFGSOptimizer::itkOverrideGetNameOfClassMacro ( AdaptiveStochasticLBFGSOptimizer )

Run-time type information (and related methods).

◆ New()

Pointer itk::AdaptiveStochasticLBFGSOptimizer::New ( )

static

Method for creation through the object factory.

◆ SetSigmoidMax()

virtual void itk::AdaptiveStochasticLBFGSOptimizer::SetSigmoidMax ( double _arg )

virtual

Set/Get the maximum of the sigmoid. Should be >0. Default: 1.0

◆ SetSigmoidMin()

virtual void itk::AdaptiveStochasticLBFGSOptimizer::SetSigmoidMin ( double _arg )

virtual

Set/Get the maximum of the sigmoid. Should be <0. Default: -0.8

◆ SetSigmoidScale()

virtual void itk::AdaptiveStochasticLBFGSOptimizer::SetSigmoidScale ( double _arg )

virtual

Set/Get the scaling of the sigmoid width. Large values cause a more wide sigmoid. Default: 1e-8. Should be >0.

◆ SetUseAdaptiveStepSizes()

virtual void itk::AdaptiveStochasticLBFGSOptimizer::SetUseAdaptiveStepSizes ( bool _arg )

virtual

Set/Get whether the adaptive step size mechanism is desired. Default: true

◆ SetUseSearchDirForAdaptiveStepSize()

virtual void itk::AdaptiveStochasticLBFGSOptimizer::SetUseSearchDirForAdaptiveStepSize ( bool _arg )

virtual

Set/Get whether the adaptive step size mechanism is desired. Default: true

◆ UpdateCurrentTime()

void itk::AdaptiveStochasticLBFGSOptimizer::UpdateCurrentTime ( )

overrideprotectedvirtual

Function to update the current time If UseAdaptiveStepSizes is false this function just increments the CurrentTime by $E_0 = (sigmoid_{max} + sigmoid_{min})/2$ . Else, the CurrentTime is updated according to:
time = max[ 0, time + sigmoid( -gradient*previousgradient) ]
In that case, also the m_PreviousGradient is updated.