ITK  4.6.0
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itk::MultiGradientOptimizerv4Template< TInternalComputationValueType > Class Template Reference

#include <itkMultiGradientOptimizerv4.h>

+ Inheritance diagram for itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >:
+ Collaboration diagram for itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >:

Detailed Description

template<typename TInternalComputationValueType>
class itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >

Multiple gradient-based optimizers are combined in order to perform a multi-objective optimization.

This optimizer will do a combined gradient descent optimization using whatever metric/optimizer gradient sub-optimizers are passed to it by the user. The learning rate or scaleestimator for each sub-optimizer controls the relative weight of each metric in the optimization. Denote the weights as $ w_1 $ and $ w_2 $ then the MultiGradientOptimizer will optimize $ \sum_i w_i Metric_i $ by using update rule:

\[ params_{new} = params_{old} + \frac{1}{N_{Metrics}} * ( \sum_i w_i Grad(Metric_i) ) \]

Note
The scales, learning rates and weights options must be set individually for each sub-optimizer, and have no effect when set on this class.

The test for this class illustrates the expected behavior.

Definition at line 46 of file itkMultiGradientOptimizerv4.h.

Public Types

typedef SmartPointer< const SelfConstPointer
 
typedef MetricType::DerivativeType DerivativeType
 
typedef
TInternalComputationValueType 
InternalComputationValueType
 
typedef
itk::GradientDescentOptimizerv4Template
< TInternalComputationValueType >
::Pointer 
LocalOptimizerPointer
 
typedef
itk::GradientDescentOptimizerv4Template
< TInternalComputationValueType > 
LocalOptimizerType
 
typedef Superclass::MeasureType MeasureType
 
typedef Superclass::MetricType MetricType
 
typedef MetricType::Pointer MetricTypePointer
 
typedef std::vector< MeasureTypeMetricValuesListType
 
typedef OptimizerType::Pointer OptimizerPointer
 
typedef
OptimizersListType::size_type 
OptimizersListSizeType
 
typedef std::vector
< LocalOptimizerPointer
OptimizersListType
 
typedef
ObjectToObjectOptimizerBaseTemplate
< TInternalComputationValueType > 
OptimizerType
 
typedef Superclass::ParametersType ParametersType
 
typedef SmartPointer< SelfPointer
 
typedef
MultiGradientOptimizerv4Template 
Self
 
typedef
Superclass::StopConditionDescriptionType 
StopConditionDescriptionType
 
typedef
Superclass::StopConditionReturnStringType 
StopConditionReturnStringType
 
typedef
Superclass::StopConditionType 
StopConditionType
 
typedef
GradientDescentOptimizerv4Template
< TInternalComputationValueType > 
Superclass
 
- Public Types inherited from itk::GradientDescentOptimizerv4Template< TInternalComputationValueType >
typedef SmartPointer< const SelfConstPointer
 
typedef Superclass::DerivativeType DerivativeType
 
typedef Superclass::IndexRangeType IndexRangeType
 
typedef
TInternalComputationValueType 
InternalComputationValueType
 
typedef Superclass::MeasureType MeasureType
 
typedef Superclass::ParametersType ParametersType
 
typedef SmartPointer< SelfPointer
 
typedef Superclass::ScalesType ScalesType
 
typedef
GradientDescentOptimizerv4Template 
Self
 
typedef
Superclass::StopConditionType 
StopConditionType
 
typedef
GradientDescentOptimizerBasev4Template
< TInternalComputationValueType > 
Superclass
 
- Public Types inherited from itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >
typedef SmartPointer< const SelfConstPointer
 
typedef
itk::Function::WindowConvergenceMonitoringFunction
< TInternalComputationValueType > 
ConvergenceMonitoringType
 
typedef Superclass::DerivativeType DerivativeType
 
typedef
ThreadedIndexedContainerPartitioner::IndexRangeType 
IndexRangeType
 
typedef
TInternalComputationValueType 
InternalComputationValueType
 
typedef Superclass::MeasureType MeasureType
 
typedef Superclass::MetricType MetricType
 
typedef MetricType::Pointer MetricTypePointer
 
typedef Superclass::ParametersType ParametersType
 
typedef SmartPointer< SelfPointer
 
typedef Superclass::ScalesType ScalesType
 
typedef
GradientDescentOptimizerBasev4Template 
Self
 
typedef
Superclass::StopConditionDescriptionType 
StopConditionDescriptionType
 
typedef
Superclass::StopConditionReturnStringType 
StopConditionReturnStringType
 
enum  StopConditionType {
  MAXIMUM_NUMBER_OF_ITERATIONS,
  COSTFUNCTION_ERROR,
  UPDATE_PARAMETERS_ERROR,
  STEP_TOO_SMALL,
  CONVERGENCE_CHECKER_PASSED,
  GRADIENT_MAGNITUDE_TOLEARANCE,
  OTHER_ERROR
}
 
typedef
ObjectToObjectOptimizerBaseTemplate
< TInternalComputationValueType > 
Superclass
 
- Public Types inherited from itk::ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >
typedef SmartPointer< const SelfConstPointer
 
typedef MetricType::DerivativeType DerivativeType
 
typedef MetricType::MeasureType MeasureType
 
typedef
ObjectToObjectMetricBaseTemplate
< TInternalComputationValueType > 
MetricType
 
typedef MetricType::Pointer MetricTypePointer
 
typedef
MetricType::NumberOfParametersType 
NumberOfParametersType
 
typedef OptimizerParameters
< TInternalComputationValueType > 
ParametersType
 
typedef SmartPointer< SelfPointer
 
typedef
OptimizerParameterScalesEstimatorTemplate
< TInternalComputationValueType > 
ScalesEstimatorType
 
typedef OptimizerParameters
< TInternalComputationValueType > 
ScalesType
 
typedef
ObjectToObjectOptimizerBaseTemplate 
Self
 
typedef std::ostringstream StopConditionDescriptionType
 
typedef std::string StopConditionReturnStringType
 
typedef Object Superclass
 
- Public Types inherited from itk::Object
typedef SmartPointer< const SelfConstPointer
 
typedef SmartPointer< SelfPointer
 
typedef Object Self
 
typedef LightObject Superclass
 
- Public Types inherited from itk::LightObject
typedef SmartPointer< const SelfConstPointer
 
typedef SmartPointer< SelfPointer
 
typedef LightObject Self
 

Public Member Functions

virtual ::itk::LightObject::Pointer CreateAnother (void) const
 
const MetricValuesListTypeGetMetricValuesList () const
 
virtual const char * GetNameOfClass () const
 
OptimizersListTypeGetOptimizersList ()
 
virtual const StopConditionTypeGetStopCondition () const
 
virtual const
StopConditionReturnStringType 
GetStopConditionDescription () const ITK_OVERRIDE
 
virtual void ResumeOptimization ()
 
void SetOptimizersList (OptimizersListType &p)
 
virtual void StartOptimization (bool doOnlyInitialization=false)
 
virtual void StopOptimization (void)
 
- Public Member Functions inherited from itk::GradientDescentOptimizerv4Template< TInternalComputationValueType >
virtual void EstimateLearningRate ()
 
virtual const
TInternalComputationValueType & 
GetConvergenceValue () const
 
virtual const
TInternalComputationValueType & 
GetLearningRate () const
 
virtual const
TInternalComputationValueType & 
GetMaximumStepSizeInPhysicalUnits () const
 
virtual void SetConvergenceWindowSize (SizeValueType _arg)
 
virtual void SetLearningRate (TInternalComputationValueType _arg)
 
virtual void SetMaximumStepSizeInPhysicalUnits (TInternalComputationValueType _arg)
 
virtual void SetMinimumConvergenceValue (TInternalComputationValueType _arg)
 
virtual void SetDoEstimateLearningRateAtEachIteration (bool _arg)
 
virtual const bool & GetDoEstimateLearningRateAtEachIteration () const
 
virtual void DoEstimateLearningRateAtEachIterationOn ()
 
virtual void DoEstimateLearningRateAtEachIterationOff ()
 
virtual void SetDoEstimateLearningRateOnce (bool _arg)
 
virtual const bool & GetDoEstimateLearningRateOnce () const
 
virtual void DoEstimateLearningRateOnceOn ()
 
virtual void DoEstimateLearningRateOnceOff ()
 
virtual void SetReturnBestParametersAndValue (bool _arg)
 
virtual const bool & GetReturnBestParametersAndValue () const
 
virtual void ReturnBestParametersAndValueOn ()
 
virtual void ReturnBestParametersAndValueOff ()
 
- Public Member Functions inherited from itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >
virtual SizeValueType GetCurrentIteration () const
 
virtual const DerivativeTypeGetGradient () const
 
virtual SizeValueType GetNumberOfIterations () const
 
virtual void SetNumberOfIterations (SizeValueType _arg)
 
virtual void ModifyGradientByScales ()
 
virtual void ModifyGradientByLearningRate ()
 
- Public Member Functions inherited from itk::ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >
virtual const MeasureTypeGetCurrentMetricValue () const
 
virtual const ParametersTypeGetCurrentPosition () const
 
virtual const ThreadIdTypeGetNumberOfThreads () const
 
virtual const ScalesTypeGetScales () const
 
virtual const bool & GetScalesAreIdentity () const
 
bool GetScalesInitialized (void) const
 
virtual const MeasureTypeGetValue () const
 
virtual const ScalesTypeGetWeights () const
 
virtual const bool & GetWeightsAreIdentity () const
 
virtual void SetNumberOfThreads (ThreadIdType number)
 
virtual void SetScalesEstimator (ScalesEstimatorType *_arg)
 
virtual void SetWeights (ScalesType _arg)
 
virtual void SetMetric (MetricType *_arg)
 
virtual MetricTypeGetModifiableMetric ()
 
virtual const MetricTypeGetMetric () const
 
virtual void SetScales (const ScalesType &scales)
 
virtual void SetDoEstimateScales (bool _arg)
 
virtual const bool & GetDoEstimateScales () const
 
virtual void DoEstimateScalesOn ()
 
virtual void DoEstimateScalesOff ()
 
- Public Member Functions inherited from itk::Object
unsigned long AddObserver (const EventObject &event, Command *)
 
unsigned long AddObserver (const EventObject &event, Command *) const
 
virtual void DebugOff () const
 
virtual void DebugOn () const
 
CommandGetCommand (unsigned long tag)
 
bool GetDebug () const
 
MetaDataDictionaryGetMetaDataDictionary (void)
 
const MetaDataDictionaryGetMetaDataDictionary (void) 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
 
virtual void Register () const ITK_OVERRIDE
 
void RemoveAllObservers ()
 
void RemoveObserver (unsigned long tag)
 
void SetDebug (bool debugFlag) const
 
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
 
virtual void SetReferenceCount (int) ITK_OVERRIDE
 
virtual void UnRegister () const ITK_OVERRIDE
 
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::GradientDescentOptimizerv4Template< TInternalComputationValueType >
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 ()
 

Protected Member Functions

virtual void PrintSelf (std::ostream &os, Indent indent) const
 
 MultiGradientOptimizerv4Template ()
 
virtual ~MultiGradientOptimizerv4Template ()
 
- Protected Member Functions inherited from itk::GradientDescentOptimizerv4Template< TInternalComputationValueType >
virtual void AdvanceOneStep (void)
 
 GradientDescentOptimizerv4Template ()
 
virtual ~GradientDescentOptimizerv4Template ()
 
virtual void ModifyGradientByScalesOverSubRange (const IndexRangeType &subrange) ITK_OVERRIDE
 
virtual void ModifyGradientByLearningRateOverSubRange (const IndexRangeType &subrange) ITK_OVERRIDE
 
- Protected Member Functions inherited from itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >
 GradientDescentOptimizerBasev4Template ()
 
virtual ~GradientDescentOptimizerBasev4Template ()
 
- Protected Member Functions inherited from itk::ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >
 ObjectToObjectOptimizerBaseTemplate ()
 
virtual ~ObjectToObjectOptimizerBaseTemplate ()
 
- 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 ()
 

Protected Attributes

MeasureType m_MaximumMetricValue
 
MetricValuesListType m_MetricValuesList
 
MeasureType m_MinimumMetricValue
 
OptimizersListType m_OptimizersList
 
bool m_Stop
 
StopConditionType m_StopCondition
 
StopConditionDescriptionType m_StopConditionDescription
 
- Protected Attributes inherited from itk::GradientDescentOptimizerv4Template< TInternalComputationValueType >
ParametersType m_BestParameters
 
TInternalComputationValueType m_ConvergenceValue
 
MeasureType m_CurrentBestValue
 
TInternalComputationValueType m_LearningRate
 
TInternalComputationValueType m_MinimumConvergenceValue
 
DerivativeType m_PreviousGradient
 
bool m_ReturnBestParametersAndValue
 
- Protected Attributes inherited from itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >
ConvergenceMonitoringType::Pointer m_ConvergenceMonitoring
 
SizeValueType m_ConvergenceWindowSize
 
bool m_DoEstimateLearningRateAtEachIteration
 
bool m_DoEstimateLearningRateOnce
 
DerivativeType m_Gradient
 
TInternalComputationValueType m_MaximumStepSizeInPhysicalUnits
 
DomainThreader
< ThreadedIndexedContainerPartitioner,
Self >::Pointer 
m_ModifyGradientByLearningRateThreader
 
DomainThreader
< ThreadedIndexedContainerPartitioner,
Self >::Pointer 
m_ModifyGradientByScalesThreader
 
bool m_Stop
 
StopConditionType m_StopCondition
 
StopConditionDescriptionType m_StopConditionDescription
 
bool m_UseConvergenceMonitoring
 
- Protected Attributes inherited from itk::ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >
SizeValueType m_CurrentIteration
 
MeasureType m_CurrentMetricValue
 
bool m_DoEstimateScales
 
MetricTypePointer m_Metric
 
SizeValueType m_NumberOfIterations
 
ThreadIdType m_NumberOfThreads
 
ScalesType m_Scales
 
bool m_ScalesAreIdentity
 
ScalesEstimatorType::Pointer m_ScalesEstimator
 
ScalesType m_Weights
 
bool m_WeightsAreIdentity
 
- Protected Attributes inherited from itk::LightObject
InternalReferenceCountType m_ReferenceCount
 
SimpleFastMutexLock m_ReferenceCountLock
 

Private Member Functions

 MultiGradientOptimizerv4Template (const Self &)
 
void operator= (const Self &)
 

Additional Inherited Members

- Protected Types inherited from itk::LightObject
typedef int InternalReferenceCountType
 

Member Typedef Documentation

template<typename TInternalComputationValueType >
typedef SmartPointer< const Self > itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::ConstPointer

Definition at line 54 of file itkMultiGradientOptimizerv4.h.

template<typename TInternalComputationValueType >
typedef MetricType::DerivativeType itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::DerivativeType

Derivative type

Definition at line 86 of file itkMultiGradientOptimizerv4.h.

template<typename TInternalComputationValueType >
typedef TInternalComputationValueType itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::InternalComputationValueType

It should be possible to derive the internal computation type from the class object.

Definition at line 79 of file itkMultiGradientOptimizerv4.h.

template<typename TInternalComputationValueType >
typedef itk::GradientDescentOptimizerv4Template<TInternalComputationValueType>::Pointer itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::LocalOptimizerPointer

Definition at line 63 of file itkMultiGradientOptimizerv4.h.

template<typename TInternalComputationValueType >
typedef itk::GradientDescentOptimizerv4Template<TInternalComputationValueType> itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::LocalOptimizerType

Definition at line 60 of file itkMultiGradientOptimizerv4.h.

template<typename TInternalComputationValueType >
typedef Superclass::MeasureType itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::MeasureType

Measure type

Definition at line 89 of file itkMultiGradientOptimizerv4.h.

template<typename TInternalComputationValueType >
typedef Superclass::MetricType itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::MetricType

Metric type over which this class is templated

Definition at line 82 of file itkMultiGradientOptimizerv4.h.

template<typename TInternalComputationValueType >
typedef MetricType::Pointer itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::MetricTypePointer

Definition at line 83 of file itkMultiGradientOptimizerv4.h.

template<typename TInternalComputationValueType >
typedef std::vector< MeasureType > itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::MetricValuesListType

Definition at line 90 of file itkMultiGradientOptimizerv4.h.

template<typename TInternalComputationValueType >
typedef OptimizerType::Pointer itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::OptimizerPointer

Definition at line 66 of file itkMultiGradientOptimizerv4.h.

template<typename TInternalComputationValueType >
typedef OptimizersListType::size_type itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::OptimizersListSizeType

Definition at line 68 of file itkMultiGradientOptimizerv4.h.

template<typename TInternalComputationValueType >
typedef std::vector< LocalOptimizerPointer > itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::OptimizersListType

Definition at line 67 of file itkMultiGradientOptimizerv4.h.

template<typename TInternalComputationValueType >
typedef ObjectToObjectOptimizerBaseTemplate<TInternalComputationValueType> itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::OptimizerType

Definition at line 65 of file itkMultiGradientOptimizerv4.h.

template<typename TInternalComputationValueType >
typedef Superclass::ParametersType itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::ParametersType

Definition at line 64 of file itkMultiGradientOptimizerv4.h.

template<typename TInternalComputationValueType >
typedef SmartPointer< Self > itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::Pointer

Definition at line 53 of file itkMultiGradientOptimizerv4.h.

template<typename TInternalComputationValueType >
typedef MultiGradientOptimizerv4Template itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::Self

Standard class typedefs.

Definition at line 51 of file itkMultiGradientOptimizerv4.h.

template<typename TInternalComputationValueType >
typedef Superclass::StopConditionDescriptionType itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::StopConditionDescriptionType

Stop condition internal string type

Definition at line 76 of file itkMultiGradientOptimizerv4.h.

template<typename TInternalComputationValueType >
typedef Superclass::StopConditionReturnStringType itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::StopConditionReturnStringType

Stop condition return string type

Definition at line 73 of file itkMultiGradientOptimizerv4.h.

template<typename TInternalComputationValueType >
typedef Superclass::StopConditionType itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::StopConditionType

Definition at line 70 of file itkMultiGradientOptimizerv4.h.

template<typename TInternalComputationValueType >
typedef GradientDescentOptimizerv4Template<TInternalComputationValueType> itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::Superclass

Definition at line 52 of file itkMultiGradientOptimizerv4.h.

Constructor & Destructor Documentation

template<typename TInternalComputationValueType >
itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::MultiGradientOptimizerv4Template ( )
protected

Default constructor

template<typename TInternalComputationValueType >
virtual itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::~MultiGradientOptimizerv4Template ( )
protectedvirtual

Default constructor

template<typename TInternalComputationValueType >
itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::MultiGradientOptimizerv4Template ( const Self )
private

Member Function Documentation

template<typename TInternalComputationValueType >
virtual::itk::LightObject::Pointer itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::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::GradientDescentOptimizerv4Template< TInternalComputationValueType >.

template<typename TInternalComputationValueType >
const MetricValuesListType& itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::GetMetricValuesList ( ) const

Get the list of metric values that we produced after the multi-objective search.

template<typename TInternalComputationValueType >
virtual const char* itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::GetNameOfClass ( ) const
virtual

Run-time type information (and related methods).

Reimplemented from itk::GradientDescentOptimizerv4Template< TInternalComputationValueType >.

template<typename TInternalComputationValueType >
OptimizersListType& itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::GetOptimizersList ( )

Get the list of optimizers currently held.

template<typename TInternalComputationValueType >
virtual const StopConditionType& itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::GetStopCondition ( ) const
virtual
template<typename TInternalComputationValueType >
virtual const StopConditionReturnStringType itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::GetStopConditionDescription ( ) const
virtual

Get the reason for termination

Reimplemented from itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >.

template<typename TInternalComputationValueType >
static Pointer itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::New ( )
static

Method for creation through the object factory.

template<typename TInternalComputationValueType >
void itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::operator= ( const Self )
private
template<typename TInternalComputationValueType >
virtual void itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::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::GradientDescentOptimizerv4Template< TInternalComputationValueType >.

template<typename TInternalComputationValueType >
virtual void itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::ResumeOptimization ( )
virtual

Resume the optimization. Can be called after StopOptimization to resume. The bulk of the optimization work loop is here.

Reimplemented from itk::GradientDescentOptimizerv4Template< TInternalComputationValueType >.

template<typename TInternalComputationValueType >
void itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::SetOptimizersList ( OptimizersListType p)

Set the list of optimizers to combine

template<typename TInternalComputationValueType >
virtual void itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::StartOptimization ( bool  doOnlyInitialization = false)
virtual
template<typename TInternalComputationValueType >
virtual void itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::StopOptimization ( void  )
virtual

Stop optimization. The object is left in a state so the optimization can be resumed by calling ResumeOptimization.

Reimplemented from itk::GradientDescentOptimizerv4Template< TInternalComputationValueType >.

Member Data Documentation

template<typename TInternalComputationValueType >
MeasureType itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::m_MaximumMetricValue
protected

Definition at line 134 of file itkMultiGradientOptimizerv4.h.

template<typename TInternalComputationValueType >
MetricValuesListType itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::m_MetricValuesList
protected

Definition at line 132 of file itkMultiGradientOptimizerv4.h.

template<typename TInternalComputationValueType >
MeasureType itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::m_MinimumMetricValue
protected

Definition at line 133 of file itkMultiGradientOptimizerv4.h.

template<typename TInternalComputationValueType >
OptimizersListType itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::m_OptimizersList
protected

Definition at line 131 of file itkMultiGradientOptimizerv4.h.

template<typename TInternalComputationValueType >
bool itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::m_Stop
protected

Definition at line 128 of file itkMultiGradientOptimizerv4.h.

template<typename TInternalComputationValueType >
StopConditionType itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::m_StopCondition
protected

Definition at line 129 of file itkMultiGradientOptimizerv4.h.

template<typename TInternalComputationValueType >
StopConditionDescriptionType itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >::m_StopConditionDescription
protected

Definition at line 130 of file itkMultiGradientOptimizerv4.h.


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