#include <itkLBFGSBOptimizer.h>

Detailed Description

Limited memory Broyden Fletcher Goldfarb Shannon minimization with simple bounds.

This class is a wrapper for converted Fortran code for performing limited memory Broyden Fletcher Goldfarb Shannon minimization with simple bounds. The algorithm minimizes a nonlinear function f(x) of n variables subject to simple bound constraints of l <= x <= u.

See also the documentation in Numerics/lbfgsb.c

References:

[1] R. H. Byrd, P. Lu and J. Nocedal. A Limited Memory Algorithm for Bound Constrained Optimization, (1995), SIAM Journal on Scientific and Statistical Computing , 16, 5, pp. 1190-1208.

[2] C. Zhu, R. H. Byrd and J. Nocedal. L-BFGS-B: Algorithm 778: L-BFGS-B, FORTRAN routines for large scale bound constrained optimization (1997), ACM Transactions on Mathematical Software, Vol 23, Num. 4, pp. 550 - 560.

Definition at line 64 of file itkLBFGSBOptimizer.h.

Inheritance diagram for itk::LBFGSBOptimizer:

Collaboration diagram for itk::LBFGSBOptimizer:

Public Types
using	BoundSelectionType = Array< long >

using	BoundValueType = Array< double >

using	ConstPointer = SmartPointer< const Self >

using	InternalBoundSelectionType = vnl_vector< long >

using	InternalBoundValueType = vnl_vector< double >

using	InternalOptimizerType = LBFGSBOptimizerHelper

using	Pointer = SmartPointer< Self >

using	Self = LBFGSBOptimizer

using	Superclass = SingleValuedNonLinearVnlOptimizer

Public Types inherited from itk::SingleValuedNonLinearVnlOptimizer
using	CommandType = ReceptorMemberCommand< Self >

using	ConstPointer = SmartPointer< const Self >

using	Pointer = SmartPointer< Self >

using	Self = SingleValuedNonLinearVnlOptimizer

using	Superclass = SingleValuedNonLinearOptimizer

Public Types inherited from itk::SingleValuedNonLinearOptimizer
using	ConstPointer = SmartPointer< const Self >

using	CostFunctionPointer = CostFunctionType::Pointer

using	CostFunctionType = SingleValuedCostFunction

using	DerivativeType = CostFunctionType::DerivativeType

using	MeasureType = CostFunctionType::MeasureType

using	ParametersType = Superclass::ParametersType

using	Pointer = SmartPointer< Self >

using	Self = SingleValuedNonLinearOptimizer

using	Superclass = NonLinearOptimizer

Public Types inherited from itk::NonLinearOptimizer
using	ConstPointer = SmartPointer< const Self >

using	ParametersType = Superclass::ParametersType

using	Pointer = SmartPointer< Self >

using	ScalesType = Superclass::ScalesType

using	Self = NonLinearOptimizer

using	Superclass = Optimizer

Public Types inherited from itk::Optimizer
using	ConstPointer = SmartPointer< const Self >

using	ParametersType = OptimizerParameters< double >

using	Pointer = SmartPointer< Self >

using	ScalesType = Array< double >

using	Self = Optimizer

using	Superclass = Object

Public Types inherited from itk::Object
using	ConstPointer = SmartPointer< const Self >

using	Pointer = SmartPointer< Self >

using	Self = Object

using	Superclass = LightObject

Public Types inherited from itk::LightObject
using	ConstPointer = SmartPointer< const Self >

using	Pointer = SmartPointer< Self >

using	Self = LightObject

Public Member Functions
bool	CanUseScales () const override

virtual double	GetCostFunctionConvergenceFactor ()

virtual const unsigned int &	GetCurrentIteration () const

virtual const double &	GetInfinityNormOfProjectedGradient () const

virtual unsigned int	GetMaximumNumberOfCorrections ()

virtual unsigned int	GetMaximumNumberOfEvaluations ()

virtual unsigned int	GetMaximumNumberOfIterations ()

const char *	GetNameOfClass () const override

virtual double	GetProjectedGradientTolerance ()

const std::string	GetStopConditionDescription () const override

virtual bool	GetTrace ()

MeasureType	GetValue () const

void	SetCostFunction (SingleValuedCostFunction *costFunction) override

virtual void	SetCostFunctionConvergenceFactor (double)

virtual void	SetMaximumNumberOfCorrections (unsigned int)

virtual void	SetMaximumNumberOfEvaluations (unsigned int)

virtual void	SetMaximumNumberOfIterations (unsigned int)

virtual void	SetProjectedGradientTolerance (double)

void	SetScales (const ScalesType &)

virtual void	SetTrace (bool flag)

void	StartOptimization () override

virtual void	TraceOn ()


virtual void	SetLowerBound (const BoundValueType &value)

virtual const BoundValueType &	GetLowerBound () const


virtual void	SetUpperBound (const BoundValueType &value)

virtual const BoundValueType &	GetUpperBound () const


virtual void	SetBoundSelection (const BoundSelectionType &value)

virtual const BoundSelectionType &	GetBoundSelection () const

Public Member Functions inherited from itk::SingleValuedNonLinearVnlOptimizer
const char *	GetNameOfClass () const override

virtual const bool &	GetMaximize () const

virtual void	SetMaximize (bool _arg)

virtual void	MaximizeOn ()

bool	GetMinimize () const

void	SetMinimize (bool v)

void	MinimizeOn ()

void	MinimizeOff ()

virtual const MeasureType &	GetCachedValue () const

virtual const DerivativeType &	GetCachedDerivative () const

virtual const ParametersType &	GetCachedCurrentPosition () const

Public Member Functions inherited from itk::SingleValuedNonLinearOptimizer
virtual CostFunctionType *	GetModifiableCostFunction ()

MeasureType	GetValue (const ParametersType &parameters) const

virtual void	SetCostFunction (CostFunctionType *costFunction)

Public Member Functions inherited from itk::Optimizer
virtual const ParametersType &	GetCurrentPosition () const

virtual const ParametersType &	GetInitialPosition () const

virtual void	SetInitialPosition (const ParametersType &param)

void	SetScales (const ScalesType &scales)

virtual const ScalesType &	GetScales () const

virtual const ScalesType &	GetInverseScales () const

Public Member Functions inherited from itk::Object
unsigned long	AddObserver (const EventObject &event, Command *)

unsigned long	AddObserver (const EventObject &event, Command *) const

unsigned long	AddObserver (const EventObject &event, std::function< void(const EventObject &)> function) const

LightObject::Pointer	CreateAnother () const override

virtual void	DebugOff () const

virtual void	DebugOn () const

Command *	GetCommand (unsigned long tag)

bool	GetDebug () const

MetaDataDictionary &	GetMetaDataDictionary ()

const MetaDataDictionary &	GetMetaDataDictionary () 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

void	Register () const override

void	RemoveAllObservers ()

void	RemoveObserver (unsigned long tag)

void	SetDebug (bool debugFlag) const

void	SetReferenceCount (int) override

void	UnRegister () const noexcept override

void	SetMetaDataDictionary (const MetaDataDictionary &rhs)

void	SetMetaDataDictionary (MetaDataDictionary &&rrhs)

virtual void	SetObjectName (std::string _arg)

virtual const std::string &	GetObjectName () const

Public Member Functions inherited from itk::LightObject
Pointer	Clone () const

virtual void	Delete ()

virtual int	GetReferenceCount () const

void	Print (std::ostream &os, Indent indent=0) const

Static Public Member Functions
static Pointer	New ()

Static Public Member Functions inherited from itk::SingleValuedNonLinearOptimizer
static Pointer	New ()

Static Public Member Functions inherited from itk::NonLinearOptimizer
static Pointer	New ()

Static Public Member Functions inherited from itk::Optimizer
static Pointer	New ()

Static Public Member Functions inherited from itk::Object
static bool	GetGlobalWarningDisplay ()

static void	GlobalWarningDisplayOff ()

static void	GlobalWarningDisplayOn ()

static Pointer	New ()

static void	SetGlobalWarningDisplay (bool val)

Static Public Member Functions inherited from itk::LightObject
static void	BreakOnError ()

static Pointer	New ()

Protected Types
using	CostFunctionAdaptorType = Superclass::CostFunctionAdaptorType

Protected Types inherited from itk::SingleValuedNonLinearVnlOptimizer
using	CostFunctionAdaptorType = SingleValuedVnlCostFunctionAdaptor

Protected Member Functions
	LBFGSBOptimizer ()

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

	~LBFGSBOptimizer () override

Protected Member Functions inherited from itk::SingleValuedNonLinearVnlOptimizer
CostFunctionAdaptorType *	GetCostFunctionAdaptor ()

const CostFunctionAdaptorType *	GetCostFunctionAdaptor () const

CostFunctionAdaptorType *	GetNonConstCostFunctionAdaptor () const

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

void	SetCostFunctionAdaptor (CostFunctionAdaptorType *adaptor)

	SingleValuedNonLinearVnlOptimizer ()

	~SingleValuedNonLinearVnlOptimizer () override

Protected Member Functions inherited from itk::SingleValuedNonLinearOptimizer
	SingleValuedNonLinearOptimizer ()

	~SingleValuedNonLinearOptimizer () override=default

Protected Member Functions inherited from itk::NonLinearOptimizer
	NonLinearOptimizer ()=default

	~NonLinearOptimizer () override

Protected Member Functions inherited from itk::Optimizer
	Optimizer ()

virtual void	SetCurrentPosition (const ParametersType &param)

	~Optimizer () override=default

Protected Member Functions inherited from itk::Object
	Object ()

bool	PrintObservers (std::ostream &os, Indent indent) const

virtual void	SetTimeStamp (const TimeStamp &timeStamp)

	~Object () override

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 Attributes
BoundSelectionType	m_BoundSelection {}

double	m_CostFunctionConvergenceFactor { 1e+7 }

unsigned int	m_CurrentIteration { 0 }

double	m_InfinityNormOfProjectedGradient { 0.0 }

BoundValueType	m_LowerBound {}

unsigned int	m_MaximumNumberOfCorrections { 5 }

unsigned int	m_MaximumNumberOfEvaluations { 500 }

unsigned int	m_MaximumNumberOfIterations { 500 }

bool	m_OptimizerInitialized { false }

double	m_ProjectedGradientTolerance { 1e-5 }

bool	m_Trace { false }

BoundValueType	m_UpperBound {}

std::unique_ptr< InternalOptimizerType >	m_VnlOptimizer

Friends
class	LBFGSBOptimizerHelper

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

Protected Attributes inherited from itk::Optimizer
ParametersType	m_CurrentPosition {}

bool	m_ScalesInitialized { false }

Protected Attributes inherited from itk::LightObject
std::atomic< int >	m_ReferenceCount {}

Member Typedef Documentation

◆ BoundSelectionType

using itk::LBFGSBOptimizer::BoundSelectionType = Array<long>

BoundSelection type Use for defining the boundary condition for each variables.

Definition at line 89 of file itkLBFGSBOptimizer.h.

◆ BoundValueType

using itk::LBFGSBOptimizer::BoundValueType = Array<double>

BoundValue type. Use for defining the lower and upper bounds on the variables.

Definition at line 84 of file itkLBFGSBOptimizer.h.

◆ ConstPointer

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

Definition at line 73 of file itkLBFGSBOptimizer.h.

◆ CostFunctionAdaptorType

using itk::LBFGSBOptimizer::CostFunctionAdaptorType = Superclass::CostFunctionAdaptorType

protected

Definition at line 213 of file itkLBFGSBOptimizer.h.

◆ InternalBoundSelectionType

using itk::LBFGSBOptimizer::InternalBoundSelectionType = vnl_vector<long>

Internal boundary selection storage type

Definition at line 95 of file itkLBFGSBOptimizer.h.

◆ InternalBoundValueType

using itk::LBFGSBOptimizer::InternalBoundValueType = vnl_vector<double>

Internal boundary value storage type

Definition at line 92 of file itkLBFGSBOptimizer.h.

◆ InternalOptimizerType

using itk::LBFGSBOptimizer::InternalOptimizerType = LBFGSBOptimizerHelper

The vnl optimizer

Definition at line 98 of file itkLBFGSBOptimizer.h.

◆ Pointer

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

Definition at line 72 of file itkLBFGSBOptimizer.h.

◆ Self

using itk::LBFGSBOptimizer::Self = LBFGSBOptimizer

Standard "Self" type alias.

Definition at line 70 of file itkLBFGSBOptimizer.h.

◆ Superclass

using itk::LBFGSBOptimizer::Superclass = SingleValuedNonLinearVnlOptimizer

Definition at line 71 of file itkLBFGSBOptimizer.h.

Constructor & Destructor Documentation

◆ LBFGSBOptimizer()

itk::LBFGSBOptimizer::LBFGSBOptimizer ( )

protected

◆ ~LBFGSBOptimizer()

itk::LBFGSBOptimizer::~LBFGSBOptimizer ( )

overrideprotected

Member Function Documentation

◆ CanUseScales()

bool itk::LBFGSBOptimizer::CanUseScales ( ) const

inlineoverridevirtual

Returns false unconditionally because LBFGSBOptimizer does not support using scales.

Reimplemented from itk::SingleValuedNonLinearVnlOptimizer.

Definition at line 202 of file itkLBFGSBOptimizer.h.

◆ GetBoundSelection()

virtual const BoundSelectionType& itk::LBFGSBOptimizer::GetBoundSelection ( ) const

virtual

Set the boundary condition for each variable, where select[i] = 0 if x[i] is unbounded, = 1 if x[i] has only a lower bound, = 2 if x[i] has both lower and upper bounds, and = 3 if x[1] has only an upper bound

◆ GetCostFunctionConvergenceFactor()

virtual double itk::LBFGSBOptimizer::GetCostFunctionConvergenceFactor ( )

virtual

◆ GetCurrentIteration()

virtual const unsigned int& itk::LBFGSBOptimizer::GetCurrentIteration ( ) const

virtual

Get the current iteration number.

◆ GetInfinityNormOfProjectedGradient()

virtual const double& itk::LBFGSBOptimizer::GetInfinityNormOfProjectedGradient ( ) const

virtual

Get the current infinity norm of the project gradient of the cost function.

◆ GetLowerBound()

virtual const BoundValueType& itk::LBFGSBOptimizer::GetLowerBound ( ) const

virtual

Set the lower bound value for each variable.

◆ GetMaximumNumberOfCorrections()

virtual unsigned int itk::LBFGSBOptimizer::GetMaximumNumberOfCorrections ( )

virtual

◆ GetMaximumNumberOfEvaluations()

virtual unsigned int itk::LBFGSBOptimizer::GetMaximumNumberOfEvaluations ( )

virtual

◆ GetMaximumNumberOfIterations()

virtual unsigned int itk::LBFGSBOptimizer::GetMaximumNumberOfIterations ( )

virtual

◆ GetNameOfClass()

const char* itk::LBFGSBOptimizer::GetNameOfClass ( ) const

overridevirtual

See also: LightObject::GetNameOfClass()

Reimplemented from itk::Object.

◆ GetProjectedGradientTolerance()

virtual double itk::LBFGSBOptimizer::GetProjectedGradientTolerance ( )

virtual

◆ GetStopConditionDescription()

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

overridevirtual

Get the reason for termination

Reimplemented from itk::Optimizer.

◆ GetTrace()

virtual bool itk::LBFGSBOptimizer::GetTrace ( )

virtual

◆ GetUpperBound()

virtual const BoundValueType& itk::LBFGSBOptimizer::GetUpperBound ( ) const

virtual

Set the upper bound value for each variable.

◆ GetValue()

MeasureType itk::LBFGSBOptimizer::GetValue ( ) const

Get the current cost function value.

◆ New()

static Pointer itk::LBFGSBOptimizer::New ( )

static

Method for creation through the object factory.

◆ PrintSelf()

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

overrideprotectedvirtual

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.

◆ SetBoundSelection()

virtual void itk::LBFGSBOptimizer::SetBoundSelection ( const BoundSelectionType & value )

virtual

Set the boundary condition for each variable, where select[i] = 0 if x[i] is unbounded, = 1 if x[i] has only a lower bound, = 2 if x[i] has both lower and upper bounds, and = 3 if x[1] has only an upper bound

◆ SetCostFunction()

void itk::LBFGSBOptimizer::SetCostFunction ( SingleValuedCostFunction * costFunction )

overridevirtual

Plug in a Cost Function into the optimizer

Implements itk::SingleValuedNonLinearVnlOptimizer.

◆ SetCostFunctionConvergenceFactor()

virtual void itk::LBFGSBOptimizer::SetCostFunctionConvergenceFactor ( double )

virtual

Set/Get the CostFunctionConvergenceFactor. Algorithm terminates when the reduction in cost function is less than factor * epsmcj where epsmch is the machine precision. Typical values for factor: 1e+12 for low accuracy; 1e+7 for moderate accuracy and 1e+1 for extremely high accuracy.

◆ SetLowerBound()

virtual void itk::LBFGSBOptimizer::SetLowerBound ( const BoundValueType & value )

virtual

Set the lower bound value for each variable.

◆ SetMaximumNumberOfCorrections()

virtual void itk::LBFGSBOptimizer::SetMaximumNumberOfCorrections ( unsigned int )

virtual

Set/Get the MaximumNumberOfCorrections. Default is 5

◆ SetMaximumNumberOfEvaluations()

virtual void itk::LBFGSBOptimizer::SetMaximumNumberOfEvaluations ( unsigned int )

virtual

Set/Get the MaximumNumberOfEvaluations. Default is 500

◆ SetMaximumNumberOfIterations()

virtual void itk::LBFGSBOptimizer::SetMaximumNumberOfIterations ( unsigned int )

virtual

Set/Get the MaximumNumberOfIterations. Default is 500

◆ SetProjectedGradientTolerance()

virtual void itk::LBFGSBOptimizer::SetProjectedGradientTolerance ( double )

virtual

Set/Get the ProjectedGradientTolerance. Algorithm terminates when the project gradient is below the tolerance. Default value is 1e-5.

◆ SetScales()

void itk::LBFGSBOptimizer::SetScales ( const ScalesType & )

inline

This optimizer does not support scaling of the derivatives.

Definition at line 180 of file itkLBFGSBOptimizer.h.

◆ SetTrace()

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

virtual

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

◆ SetUpperBound()

virtual void itk::LBFGSBOptimizer::SetUpperBound ( const BoundValueType & value )

virtual

Set the upper bound value for each variable.

◆ StartOptimization()

void itk::LBFGSBOptimizer::StartOptimization ( )

overridevirtual

Start optimization with an initial value.

Reimplemented from itk::Optimizer.

◆ TraceOn()

virtual void itk::LBFGSBOptimizer::TraceOn ( )

virtual

Friends And Related Function Documentation

◆ LBFGSBOptimizerHelper

friend class LBFGSBOptimizerHelper

friend

Definition at line 218 of file itkLBFGSBOptimizer.h.

Member Data Documentation

◆ m_BoundSelection

BoundSelectionType itk::LBFGSBOptimizer::m_BoundSelection {}

private

Definition at line 233 of file itkLBFGSBOptimizer.h.

◆ m_CostFunctionConvergenceFactor

double itk::LBFGSBOptimizer::m_CostFunctionConvergenceFactor { 1e+7 }

private

Definition at line 222 of file itkLBFGSBOptimizer.h.

◆ m_CurrentIteration

unsigned int itk::LBFGSBOptimizer::m_CurrentIteration { 0 }

private

Definition at line 227 of file itkLBFGSBOptimizer.h.

◆ m_InfinityNormOfProjectedGradient

double itk::LBFGSBOptimizer::m_InfinityNormOfProjectedGradient { 0.0 }

private

Definition at line 228 of file itkLBFGSBOptimizer.h.

◆ m_LowerBound

BoundValueType itk::LBFGSBOptimizer::m_LowerBound {}

private

Definition at line 231 of file itkLBFGSBOptimizer.h.

◆ m_MaximumNumberOfCorrections

unsigned int itk::LBFGSBOptimizer::m_MaximumNumberOfCorrections { 5 }

private

Definition at line 226 of file itkLBFGSBOptimizer.h.

◆ m_MaximumNumberOfEvaluations

unsigned int itk::LBFGSBOptimizer::m_MaximumNumberOfEvaluations { 500 }

private

Definition at line 225 of file itkLBFGSBOptimizer.h.

◆ m_MaximumNumberOfIterations

unsigned int itk::LBFGSBOptimizer::m_MaximumNumberOfIterations { 500 }

private

Definition at line 224 of file itkLBFGSBOptimizer.h.

◆ m_OptimizerInitialized

bool itk::LBFGSBOptimizer::m_OptimizerInitialized { false }

private

Definition at line 221 of file itkLBFGSBOptimizer.h.

◆ m_ProjectedGradientTolerance

double itk::LBFGSBOptimizer::m_ProjectedGradientTolerance { 1e-5 }

private

Definition at line 223 of file itkLBFGSBOptimizer.h.

◆ m_Trace

bool itk::LBFGSBOptimizer::m_Trace { false }

private

Definition at line 220 of file itkLBFGSBOptimizer.h.

◆ m_UpperBound

BoundValueType itk::LBFGSBOptimizer::m_UpperBound {}

private

Definition at line 232 of file itkLBFGSBOptimizer.h.

◆ m_VnlOptimizer

std::unique_ptr<InternalOptimizerType> itk::LBFGSBOptimizer::m_VnlOptimizer

private

Definition at line 230 of file itkLBFGSBOptimizer.h.

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

itkLBFGSBOptimizer.h

Detailed Description

Public Types

Public Member Functions

Static Public Member Functions

Protected Types

Protected Member Functions

Private Attributes

Friends

Additional Inherited Members

Member Typedef Documentation

◆ BoundSelectionType

◆ BoundValueType

◆ ConstPointer

◆ CostFunctionAdaptorType

◆ InternalBoundSelectionType

◆ InternalBoundValueType

◆ InternalOptimizerType

◆ Pointer

◆ Self

◆ Superclass

Constructor & Destructor Documentation

◆ LBFGSBOptimizer()

◆ ~LBFGSBOptimizer()

Member Function Documentation

◆ CanUseScales()

◆ GetBoundSelection()

◆ GetCostFunctionConvergenceFactor()

◆ GetCurrentIteration()

◆ GetInfinityNormOfProjectedGradient()

◆ GetLowerBound()

◆ GetMaximumNumberOfCorrections()

◆ GetMaximumNumberOfEvaluations()

◆ GetMaximumNumberOfIterations()

◆ GetNameOfClass()

◆ GetProjectedGradientTolerance()

◆ GetStopConditionDescription()

◆ GetTrace()

◆ GetUpperBound()

◆ GetValue()

◆ New()

◆ PrintSelf()

◆ SetBoundSelection()

◆ SetCostFunction()

◆ SetCostFunctionConvergenceFactor()

◆ SetLowerBound()

◆ SetMaximumNumberOfCorrections()

◆ SetMaximumNumberOfEvaluations()

◆ SetMaximumNumberOfIterations()

◆ SetProjectedGradientTolerance()

◆ SetScales()

◆ SetTrace()

◆ SetUpperBound()

◆ StartOptimization()

◆ TraceOn()

Friends And Related Function Documentation

◆ LBFGSBOptimizerHelper

Member Data Documentation

◆ m_BoundSelection

◆ m_CostFunctionConvergenceFactor

◆ m_CurrentIteration

◆ m_InfinityNormOfProjectedGradient

◆ m_LowerBound

◆ m_MaximumNumberOfCorrections

◆ m_MaximumNumberOfEvaluations

◆ m_MaximumNumberOfIterations

◆ m_OptimizerInitialized

◆ m_ProjectedGradientTolerance

◆ m_Trace

◆ m_UpperBound

◆ m_VnlOptimizer