ITK  5.2.0
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Public Types | Public Member Functions | Static Public Member Functions | List of all members
itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType > Class Template Reference

#include <itkOnePlusOneEvolutionaryOptimizerv4.h>

+ Inheritance diagram for itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >:
+ Collaboration diagram for itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >:

Public Types

using ConstPointer = SmartPointer< const Self >
 
using CostFunctionPointer = CostFunctionType::Pointer
 
using CostFunctionType = SingleValuedCostFunctionv4
 
using MeasureType = typename Superclass::MeasureType
 
using NormalVariateGeneratorType = Statistics::RandomVariateGeneratorBase
 
using ParametersType = typename Superclass::ParametersType
 
using Pointer = SmartPointer< Self >
 
using ScalesType = typename Superclass::ScalesType
 
using Self = OnePlusOneEvolutionaryOptimizerv4
 
using Superclass = ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >
 
- Public Types inherited from itk::ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >
using ConstPointer = SmartPointer< const Self >
 
using DerivativeType = typename MetricType::DerivativeType
 
using MeasureType = typename MetricType::MeasureType
 
using MetricType = ObjectToObjectMetricBaseTemplate< TInternalComputationValueType >
 
using MetricTypePointer = typename MetricType::Pointer
 
using NumberOfParametersType = typename MetricType::NumberOfParametersType
 
using ParametersType = OptimizerParameters< TInternalComputationValueType >
 
using Pointer = SmartPointer< Self >
 
using ScalesEstimatorType = OptimizerParameterScalesEstimatorTemplate< TInternalComputationValueType >
 
using ScalesType = OptimizerParameters< TInternalComputationValueType >
 
using Self = ObjectToObjectOptimizerBaseTemplate
 
using StopConditionDescriptionType = std::ostringstream
 
using StopConditionReturnStringType = std::string
 
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

virtual ::itk::LightObject::Pointer CreateAnother () const
 
virtual const char * GetNameOfClass () const
 
- Public Member Functions inherited from itk::ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >
virtual void SetMetric (MetricType *_arg)
 
virtual MetricTypeGetModifiableMetric ()
 
virtual const MetricTypeGetMetric () const
 
virtual const MeasureTypeGetCurrentMetricValue () const
 
virtual void SetScales (const ScalesType &scales)
 
virtual const ScalesTypeGetScales () const
 
virtual const bool & GetScalesAreIdentity () const
 
virtual void SetWeights (ScalesType _arg)
 
virtual const ScalesTypeGetWeights () const
 
virtual const bool & GetWeightsAreIdentity () const
 
bool GetScalesInitialized () const
 
virtual void SetScalesEstimator (ScalesEstimatorType *_arg)
 
virtual void SetDoEstimateScales (bool _arg)
 
virtual const bool & GetDoEstimateScales () const
 
virtual void DoEstimateScalesOn ()
 
virtual void DoEstimateScalesOff ()
 
virtual void SetNumberOfWorkUnits (ThreadIdType number)
 
virtual const ThreadIdTypeGetNumberOfWorkUnits () const
 
virtual SizeValueType GetCurrentIteration () const
 
virtual void SetNumberOfIterations (SizeValueType _arg)
 
virtual SizeValueType GetNumberOfIterations () const
 
virtual const ParametersTypeGetCurrentPosition () 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
 
virtual void DebugOff () const
 
virtual void DebugOn () const
 
CommandGetCommand (unsigned long tag)
 
bool GetDebug () const
 
MetaDataDictionaryGetMetaDataDictionary ()
 
const MetaDataDictionaryGetMetaDataDictionary () const
 
virtual ModifiedTimeType GetMTime () const
 
virtual const TimeStampGetTimeStamp () 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
virtual void Delete ()
 
virtual int GetReferenceCount () const
 
 itkCloneMacro (Self)
 
void Print (std::ostream &os, Indent indent=0) const
 

Static Public Member Functions

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 flag)
 
- Static Public Member Functions inherited from itk::LightObject
static void BreakOnError ()
 
static Pointer New ()
 
NormalVariateGeneratorType::Pointer m_RandomGenerator
 
unsigned int m_MaximumIteration
 
bool m_CatchGetValueException
 
double m_MetricWorstPossibleValue
 
double m_Epsilon
 
double m_InitialRadius
 
double m_GrowthFactor
 
double m_ShrinkFactor
 
bool m_Initialized
 
MeasureType m_CurrentCost
 
bool m_Stop
 
std::ostringstream m_StopConditionDescription
 
double m_FrobeniusNorm
 
virtual void SetMaximumIteration (unsigned int _arg)
 
virtual const unsigned int & GetMaximumIteration () const
 
virtual void SetGrowthFactor (double _arg)
 
virtual const double & GetGrowthFactor () const
 
virtual void SetShrinkFactor (double _arg)
 
virtual const double & GetShrinkFactor () const
 
virtual void SetInitialRadius (double _arg)
 
virtual const double & GetInitialRadius () const
 
virtual void SetEpsilon (double _arg)
 
virtual const double & GetEpsilon () const
 
virtual const double & GetFrobeniusNorm () const
 
void SetNormalVariateGenerator (NormalVariateGeneratorType *generator)
 
void Initialize (double initialRadius, double grow=-1, double shrink=-1)
 
virtual const MeasureTypeGetCurrentCost () const
 
const MeasureTypeGetValue () const override
 
virtual const bool & GetInitialized () const
 
void StartOptimization (bool doOnlyInitialization=false) override
 
void StopOptimization ()
 
virtual const bool & GetCatchGetValueException () const
 
virtual void SetCatchGetValueException (bool _arg)
 
virtual const double & GetMetricWorstPossibleValue () const
 
virtual void SetMetricWorstPossibleValue (double _arg)
 
const std::string GetStopConditionDescription () const override
 
 OnePlusOneEvolutionaryOptimizerv4 ()
 
 OnePlusOneEvolutionaryOptimizerv4 (const OnePlusOneEvolutionaryOptimizerv4 &)
 
 ~OnePlusOneEvolutionaryOptimizerv4 () override=default
 
void PrintSelf (std::ostream &os, Indent indent) const override
 

Additional Inherited Members

- Protected Member Functions inherited from itk::ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >
 ObjectToObjectOptimizerBaseTemplate ()
 
 ~ObjectToObjectOptimizerBaseTemplate () override
 
- Protected Member Functions inherited from itk::Object
 Object ()
 
 ~Object () override
 
bool PrintObservers (std::ostream &os, Indent indent) const
 
virtual void SetTimeStamp (const TimeStamp &time)
 
- 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 ()
 
- Protected Attributes inherited from itk::ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >
MetricTypePointer m_Metric
 
ThreadIdType m_NumberOfWorkUnits
 
SizeValueType m_CurrentIteration
 
SizeValueType m_NumberOfIterations
 
MeasureType m_CurrentMetricValue
 
ScalesType m_Scales
 
ScalesType m_Weights
 
bool m_ScalesAreIdentity
 
ScalesEstimatorType::Pointer m_ScalesEstimator
 
bool m_WeightsAreIdentity
 
bool m_DoEstimateScales
 
- Protected Attributes inherited from itk::LightObject
std::atomic< int > m_ReferenceCount
 

Detailed Description

template<typename TInternalComputationValueType>
class itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >

1+1 evolutionary strategy optimizer

This optimizer searches for the optimal parameters. It changes its search radius and position using the grow factor ,shrink factor, and isotropic probability function (which is a random unit normal variate generator).

This optimizer needs a cost function and a random unit normal variate generator. The cost function should return cost with new position in parameter space which will be generated by 1+1 evolutionary strategy. Users should plug-in the random unit normal variate generator using SetNormalVariateGenerator method.

The SetEpsilon method is the minimum value for the frobenius_norm of the covariance matrix. If the fnorm is smaller than this value, the optimization process will stop even before it hits the maximum iteration.

Another way to stop the optimization process is calling the StopOptimization method. At next iteration after calling it, the optimization process will stop.

This optimizing scheme was initially developed and implemented by Martin Styner, Univ. of North Carolina at Chapel Hill, and his colleagues.

For more details. refer to the following articles. "Parametric estimate of intensity inhomogeneities applied to MRI" Martin Styner, G. Gerig, Christian Brechbuehler, Gabor Szekely, IEEE TRANSACTIONS ON MEDICAL IMAGING; 19(3), pp. 153-165, 2000, (http://www.cs.unc.edu/~styner/docs/tmi00.pdf)

"Evaluation of 2D/3D bias correction with 1+1ES-optimization" Martin Styner, Prof. Dr. G. Gerig (IKT, BIWI, ETH Zuerich), TR-197 (http://www.cs.unc.edu/~styner/docs/StynerTR97.pdf)

See also
NormalVariateGenerator
Examples
Examples/RegistrationITKv4/ImageRegistration11.cxx.

Definition at line 70 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

Member Typedef Documentation

◆ ConstPointer

template<typename TInternalComputationValueType >
using itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::ConstPointer = SmartPointer<const Self>

Definition at line 78 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ CostFunctionPointer

template<typename TInternalComputationValueType >
using itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::CostFunctionPointer = CostFunctionType::Pointer

Definition at line 88 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ CostFunctionType

template<typename TInternalComputationValueType >
using itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::CostFunctionType = SingleValuedCostFunctionv4

Type of the Cost Function

Definition at line 87 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ MeasureType

template<typename TInternalComputationValueType >
using itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::MeasureType = typename Superclass::MeasureType

Measure type

Definition at line 94 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ NormalVariateGeneratorType

template<typename TInternalComputationValueType >
using itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::NormalVariateGeneratorType = Statistics::RandomVariateGeneratorBase

Normal random variate generator type.

Definition at line 91 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ ParametersType

template<typename TInternalComputationValueType >
using itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::ParametersType = typename Superclass::ParametersType

Parameters type

Definition at line 97 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ Pointer

template<typename TInternalComputationValueType >
using itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::Pointer = SmartPointer<Self>

Definition at line 77 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ ScalesType

template<typename TInternalComputationValueType >
using itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::ScalesType = typename Superclass::ScalesType

Scales type

Definition at line 100 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ Self

template<typename TInternalComputationValueType >
using itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::Self = OnePlusOneEvolutionaryOptimizerv4

Standard "Self" type alias.

Definition at line 75 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ Superclass

template<typename TInternalComputationValueType >
using itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::Superclass = ObjectToObjectOptimizerBaseTemplate<TInternalComputationValueType>

Definition at line 76 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

Constructor & Destructor Documentation

◆ OnePlusOneEvolutionaryOptimizerv4() [1/2]

template<typename TInternalComputationValueType >
itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::OnePlusOneEvolutionaryOptimizerv4 ( )
protected

Smart pointer to the normal random variate generator.

◆ OnePlusOneEvolutionaryOptimizerv4() [2/2]

template<typename TInternalComputationValueType >
itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::OnePlusOneEvolutionaryOptimizerv4 ( const OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType > &  )
protected

Smart pointer to the normal random variate generator.

◆ ~OnePlusOneEvolutionaryOptimizerv4()

template<typename TInternalComputationValueType >
itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::~OnePlusOneEvolutionaryOptimizerv4 ( )
overrideprotecteddefault

Smart pointer to the normal random variate generator.

Member Function Documentation

◆ CreateAnother()

template<typename TInternalComputationValueType >
virtual::itk::LightObject::Pointer itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::CreateAnother ( ) 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.

◆ GetCatchGetValueException()

template<typename TInternalComputationValueType >
virtual const bool& itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::GetCatchGetValueException ( ) const
virtual

Smart pointer to the normal random variate generator.

◆ GetCurrentCost()

template<typename TInternalComputationValueType >
virtual const MeasureType& itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::GetCurrentCost ( ) const
virtual

Return Current Value

◆ GetEpsilon()

template<typename TInternalComputationValueType >
virtual const double& itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::GetEpsilon ( ) const
virtual

Smart pointer to the normal random variate generator.

◆ GetFrobeniusNorm()

template<typename TInternalComputationValueType >
virtual const double& itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::GetFrobeniusNorm ( ) const
virtual

Get the current Frobenius norm of covariance matrix

◆ GetGrowthFactor()

template<typename TInternalComputationValueType >
virtual const double& itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::GetGrowthFactor ( ) const
virtual

Smart pointer to the normal random variate generator.

◆ GetInitialized()

template<typename TInternalComputationValueType >
virtual const bool& itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::GetInitialized ( ) const
virtual

Return if optimizer has been initialized

◆ GetInitialRadius()

template<typename TInternalComputationValueType >
virtual const double& itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::GetInitialRadius ( ) const
virtual

Smart pointer to the normal random variate generator.

◆ GetMaximumIteration()

template<typename TInternalComputationValueType >
virtual const unsigned int& itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::GetMaximumIteration ( ) const
virtual

Smart pointer to the normal random variate generator.

◆ GetMetricWorstPossibleValue()

template<typename TInternalComputationValueType >
virtual const double& itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::GetMetricWorstPossibleValue ( ) const
virtual

Smart pointer to the normal random variate generator.

◆ GetNameOfClass()

template<typename TInternalComputationValueType >
virtual const char* itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::GetNameOfClass ( ) const
virtual

Run-time type information (and related methods).

Reimplemented from itk::ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >.

◆ GetShrinkFactor()

template<typename TInternalComputationValueType >
virtual const double& itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::GetShrinkFactor ( ) const
virtual

Smart pointer to the normal random variate generator.

◆ GetStopConditionDescription()

template<typename TInternalComputationValueType >
const std::string itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::GetStopConditionDescription ( ) const
overridevirtual

Smart pointer to the normal random variate generator.

Implements itk::ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >.

◆ GetValue()

template<typename TInternalComputationValueType >
const MeasureType& itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::GetValue ( ) const
overridevirtual

Smart pointer to the normal random variate generator.

Reimplemented from itk::ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >.

◆ Initialize()

template<typename TInternalComputationValueType >
void itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::Initialize ( double  initialRadius,
double  grow = -1,
double  shrink = -1 
)

Initializes the optimizer. Before running this optimizer, this function should have been called.

initialRadius: search radius in parameter space grow: search radius grow factor shrink: searhc radius shrink factor

◆ New()

template<typename TInternalComputationValueType >
static Pointer itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::New ( )
static

Method for creation through the object factory.

◆ PrintSelf()

template<typename TInternalComputationValueType >
void itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const
overrideprotectedvirtual

Smart pointer to the normal random variate generator.

Reimplemented from itk::ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >.

◆ SetCatchGetValueException()

template<typename TInternalComputationValueType >
virtual void itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::SetCatchGetValueException ( bool  _arg)
virtual

Smart pointer to the normal random variate generator.

◆ SetEpsilon()

template<typename TInternalComputationValueType >
virtual void itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::SetEpsilon ( double  _arg)
virtual

Set/Get the minimal size of search radius (frobenius_norm of covariance matrix).

◆ SetGrowthFactor()

template<typename TInternalComputationValueType >
virtual void itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::SetGrowthFactor ( double  _arg)
virtual

Set/Get the search radius grow factor in parameter space.

◆ SetInitialRadius()

template<typename TInternalComputationValueType >
virtual void itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::SetInitialRadius ( double  _arg)
virtual

Set/Get initial search radius in parameter space

◆ SetMaximumIteration()

template<typename TInternalComputationValueType >
virtual void itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::SetMaximumIteration ( unsigned int  _arg)
virtual

Set/Get maximum iteration limit.

◆ SetMetricWorstPossibleValue()

template<typename TInternalComputationValueType >
virtual void itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::SetMetricWorstPossibleValue ( double  _arg)
virtual

Smart pointer to the normal random variate generator.

◆ SetNormalVariateGenerator()

template<typename TInternalComputationValueType >
void itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::SetNormalVariateGenerator ( NormalVariateGeneratorType generator)

Smart pointer to the normal random variate generator.

◆ SetShrinkFactor()

template<typename TInternalComputationValueType >
virtual void itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::SetShrinkFactor ( double  _arg)
virtual

Set/Get the search radius shrink factor.

◆ StartOptimization()

template<typename TInternalComputationValueType >
void itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::StartOptimization ( bool  doOnlyInitialization = false)
overridevirtual

Start optimization. Optimization will stop when it meets either of two termination conditions, the maximum iteration limit or epsilon (minimal search radius)

Reimplemented from itk::ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >.

◆ StopOptimization()

template<typename TInternalComputationValueType >
void itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::StopOptimization ( )
inline

when users call StartOptimization, this value will be set false. By calling StopOptimization, this flag will be set true, and optimization will stop at the next iteration.

Definition at line 162 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

Member Data Documentation

◆ m_CatchGetValueException

template<typename TInternalComputationValueType >
bool itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::m_CatchGetValueException
private

Smart pointer to the normal random variate generator.

Definition at line 190 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ m_CurrentCost

template<typename TInternalComputationValueType >
MeasureType itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::m_CurrentCost
private

Internal storage for the value type / used as a cache

Definition at line 210 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ m_Epsilon

template<typename TInternalComputationValueType >
double itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::m_Epsilon
private

The minimal size of search radius (frobenius_norm of covariance matrix).

Definition at line 195 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ m_FrobeniusNorm

template<typename TInternalComputationValueType >
double itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::m_FrobeniusNorm
private

Cache variable for reporting the Frobenius Norm

Definition at line 223 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ m_GrowthFactor

template<typename TInternalComputationValueType >
double itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::m_GrowthFactor
private

Search radius growth factor in parameter space.

Definition at line 201 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ m_Initialized

template<typename TInternalComputationValueType >
bool itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::m_Initialized
private

Flag tells if the optimizer was initialized using Initialize function.

Definition at line 207 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ m_InitialRadius

template<typename TInternalComputationValueType >
double itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::m_InitialRadius
private

Initial search radius in parameter space.

Definition at line 198 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ m_MaximumIteration

template<typename TInternalComputationValueType >
unsigned int itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::m_MaximumIteration
private

Maximum iteration limit.

Definition at line 188 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ m_MetricWorstPossibleValue

template<typename TInternalComputationValueType >
double itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::m_MetricWorstPossibleValue
private

Smart pointer to the normal random variate generator.

Definition at line 191 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ m_RandomGenerator

template<typename TInternalComputationValueType >
NormalVariateGeneratorType::Pointer itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::m_RandomGenerator
private

Smart pointer to the normal random variate generator.

Definition at line 185 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ m_ShrinkFactor

template<typename TInternalComputationValueType >
double itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::m_ShrinkFactor
private

Search radius shrink factor in parameter space,

Definition at line 204 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ m_Stop

template<typename TInternalComputationValueType >
bool itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::m_Stop
private

This is user-settable flag to stop optimization. when users call StartOptimization, this value will be set false. By calling StopOptimization, this flag will be set true, and optimization will stop at the next iteration.

Definition at line 216 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ m_StopConditionDescription

template<typename TInternalComputationValueType >
std::ostringstream itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::m_StopConditionDescription
private

Stop description

Definition at line 219 of file itkOnePlusOneEvolutionaryOptimizerv4.h.


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