ITK  4.3.0
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itk::ConjugateGradientLineSearchOptimizerv4 Class Reference

#include <itkConjugateGradientLineSearchOptimizerv4.h>

+ Inheritance diagram for itk::ConjugateGradientLineSearchOptimizerv4:
+ Collaboration diagram for itk::ConjugateGradientLineSearchOptimizerv4:

Detailed Description

Conjugate gradient descent optimizer with a golden section line search for nonlinear optimization.

ConjugateGradientLineSearchOptimizer implements a conjugate gradient descent optimizer that is followed by a line search to find the best value for the learning rate. At each iteration the current position is updated according to

\[ p_{n+1} = p_n + \mbox{learningRateByGoldenSectionLineSearch} \, d \]

where d is defined as the Polak-Ribiere conjugate gradient.

Options are identical to the superclass's.

Definition at line 46 of file itkConjugateGradientLineSearchOptimizerv4.h.

Public Types

typedef SmartPointer< const SelfConstPointer
 
typedef
itk::Function::WindowConvergenceMonitoringFunction
< double > 
ConvergenceMonitoringType
 
typedef Superclass::DerivativeType DerivativeType
 
typedef
Superclass::InternalComputationValueType 
InternalComputationValueType
 
typedef Superclass::MeasureType MeasureType
 
typedef SmartPointer< SelfPointer
 
typedef
ConjugateGradientLineSearchOptimizerv4 
Self
 
typedef GradientDescentOptimizerv4 Superclass
 
- Public Types inherited from itk::GradientDescentLineSearchOptimizerv4
typedef SmartPointer< const SelfConstPointer
 
typedef
itk::Function::WindowConvergenceMonitoringFunction
< double > 
ConvergenceMonitoringType
 
typedef Superclass::DerivativeType DerivativeType
 
typedef
Superclass::InternalComputationValueType 
InternalComputationValueType
 
typedef Superclass::MeasureType MeasureType
 
typedef SmartPointer< SelfPointer
 
typedef
GradientDescentLineSearchOptimizerv4 
Self
 
typedef GradientDescentOptimizerv4 Superclass
 
- Public Types inherited from itk::GradientDescentOptimizerv4
typedef SmartPointer< const SelfConstPointer
 
typedef
itk::Function::WindowConvergenceMonitoringFunction
< double > 
ConvergenceMonitoringType
 
typedef Superclass::DerivativeType DerivativeType
 
typedef
Superclass::InternalComputationValueType 
InternalComputationValueType
 
typedef Superclass::MeasureType MeasureType
 
typedef SmartPointer< SelfPointer
 
typedef GradientDescentOptimizerv4 Self
 
typedef
GradientDescentOptimizerBasev4 
Superclass
 
- Public Types inherited from itk::GradientDescentOptimizerBasev4
typedef SmartPointer< const SelfConstPointer
 
typedef MetricType::DerivativeType DerivativeType
 
typedef
Superclass::InternalComputationValueType 
InternalComputationValueType
 
typedef Superclass::MeasureType MeasureType
 
typedef Superclass::MetricType MetricType
 
typedef MetricType::Pointer MetricTypePointer
 
typedef SmartPointer< SelfPointer
 
typedef
GradientDescentOptimizerBasev4 
Self
 
typedef std::ostringstream StopConditionDescriptionType
 
typedef std::string StopConditionReturnStringType
 
enum  StopConditionType {
  MAXIMUM_NUMBER_OF_ITERATIONS,
  COSTFUNCTION_ERROR,
  UPDATE_PARAMETERS_ERROR,
  STEP_TOO_SMALL,
  QUASI_NEWTON_STEP_ERROR,
  CONVERGENCE_CHECKER_PASSED,
  OTHER_ERROR
}
 
typedef ObjectToObjectOptimizerBase Superclass
 
- Public Types inherited from itk::ObjectToObjectOptimizerBase
typedef SmartPointer< const SelfConstPointer
 
typedef
MetricType::InternalComputationValueType 
InternalComputationValueType
 
typedef MetricType::MeasureType MeasureType
 
typedef ObjectToObjectMetricBase MetricType
 
typedef MetricType::Pointer MetricTypePointer
 
typedef
MetricType::NumberOfParametersType 
NumberOfParametersType
 
typedef OptimizerParameters
< double > 
ParametersType
 
typedef SmartPointer< SelfPointer
 
typedef OptimizerParameters
< double > 
ScalesType
 
typedef ObjectToObjectOptimizerBase Self
 
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
 
virtual const char * GetNameOfClass () const
 
virtual void StartOptimization (bool doOnlyInitialization=false)
 
- Public Member Functions inherited from itk::GradientDescentLineSearchOptimizerv4
virtual ::itk::LightObject::Pointer CreateAnother (void) const
 
virtual void SetEpsilon (InternalComputationValueType _arg)
 
virtual
InternalComputationValueType 
GetEpsilon ()
 
virtual void SetLowerLimit (InternalComputationValueType _arg)
 
virtual
InternalComputationValueType 
GetLowerLimit ()
 
virtual void SetUpperLimit (InternalComputationValueType _arg)
 
virtual
InternalComputationValueType 
GetUpperLimit ()
 
virtual void SetMaximumLineSearchIterations (unsigned int _arg)
 
virtual unsigned int GetMaximumLineSearchIterations ()
 
- Public Member Functions inherited from itk::GradientDescentOptimizerv4
virtual ::itk::LightObject::Pointer CreateAnother (void) const
 
virtual void EstimateLearningRate ()
 
virtual const
InternalComputationValueType
GetConvergenceValue ()
 
virtual const
InternalComputationValueType
GetLearningRate ()
 
virtual const
InternalComputationValueType
GetMaximumStepSizeInPhysicalUnits ()
 
virtual void ResumeOptimization ()
 
virtual void SetConvergenceWindowSize (SizeValueType _arg)
 
virtual void SetLearningRate (InternalComputationValueType _arg)
 
virtual void SetMaximumStepSizeInPhysicalUnits (InternalComputationValueType _arg)
 
virtual void SetMinimumConvergenceValue (InternalComputationValueType _arg)
 
virtual void SetScalesEstimator (OptimizerParameterScalesEstimator *_arg)
 
virtual void StopOptimization (void)
 
virtual void SetDoEstimateScales (bool _arg)
 
virtual const bool & GetDoEstimateScales ()
 
virtual void DoEstimateScalesOn ()
 
virtual void DoEstimateScalesOff ()
 
virtual void SetDoEstimateLearningRateAtEachIteration (bool _arg)
 
virtual const bool & GetDoEstimateLearningRateAtEachIteration ()
 
virtual void DoEstimateLearningRateAtEachIterationOn ()
 
virtual void DoEstimateLearningRateAtEachIterationOff ()
 
virtual void SetDoEstimateLearningRateOnce (bool _arg)
 
virtual const bool & GetDoEstimateLearningRateOnce ()
 
virtual void DoEstimateLearningRateOnceOn ()
 
virtual void DoEstimateLearningRateOnceOff ()
 
virtual void SetReturnBestParametersAndValue (bool _arg)
 
virtual const bool & GetReturnBestParametersAndValue ()
 
virtual void ReturnBestParametersAndValueOn ()
 
virtual void ReturnBestParametersAndValueOff ()
 
- Public Member Functions inherited from itk::GradientDescentOptimizerBasev4
virtual SizeValueType GetCurrentIteration () const
 
virtual const DerivativeTypeGetGradient ()
 
virtual const SizeValueTypeGetNumberOfIterations ()
 
virtual const StopConditionTypeGetStopCondition ()
 
virtual const
StopConditionReturnStringType 
GetStopConditionDescription () const
 
virtual void SetNumberOfIterations (SizeValueType _arg)
 
virtual void ModifyGradientByScales ()
 
virtual void ModifyGradientByLearningRate ()
 
- Public Member Functions inherited from itk::ObjectToObjectOptimizerBase
virtual const MeasureTypeGetCurrentMetricValue ()
 
const ParametersTypeGetCurrentPosition ()
 
virtual const ThreadIdTypeGetNumberOfThreads ()
 
virtual const ScalesTypeGetScales ()
 
virtual const bool & GetScalesAreIdentity ()
 
const MeasureTypeGetValue ()
 
virtual const ScalesTypeGetWeights ()
 
virtual const bool & GetWeightsAreIdentity ()
 
virtual void SetNumberOfThreads (ThreadIdType number)
 
virtual void SetScales (ScalesType _arg)
 
virtual void SetWeights (ScalesType _arg)
 
virtual MetricTypeGetMetric ()
 
virtual void SetMetric (MetricType *_arg)
 
- 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
 
void RemoveAllObservers ()
 
void RemoveObserver (unsigned long tag)
 
void SetDebug (bool debugFlag) const
 
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
 
virtual void SetReferenceCount (int)
 
virtual void UnRegister () 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::GradientDescentLineSearchOptimizerv4
static Pointer New ()
 
- Static Public Member Functions inherited from itk::GradientDescentOptimizerv4
static Pointer New ()
 

Protected Member Functions

virtual void AdvanceOneStep (void)
 
 ConjugateGradientLineSearchOptimizerv4 ()
 
virtual void PrintSelf (std::ostream &os, Indent indent) const
 
virtual ~ConjugateGradientLineSearchOptimizerv4 ()
 
- Protected Member Functions inherited from itk::GradientDescentLineSearchOptimizerv4
InternalComputationValueType GoldenSectionSearch (InternalComputationValueType a, InternalComputationValueType b, InternalComputationValueType c)
 
 GradientDescentLineSearchOptimizerv4 ()
 
virtual ~GradientDescentLineSearchOptimizerv4 ()
 
- Protected Member Functions inherited from itk::GradientDescentOptimizerv4
 GradientDescentOptimizerv4 ()
 
virtual ~GradientDescentOptimizerv4 ()
 
virtual void ModifyGradientByScalesOverSubRange (const IndexRangeType &subrange)
 
virtual void ModifyGradientByLearningRateOverSubRange (const IndexRangeType &subrange)
 
- Protected Member Functions inherited from itk::GradientDescentOptimizerBasev4
 GradientDescentOptimizerBasev4 ()
 
virtual ~GradientDescentOptimizerBasev4 ()
 
- Protected Member Functions inherited from itk::ObjectToObjectOptimizerBase
 ObjectToObjectOptimizerBase ()
 
virtual ~ObjectToObjectOptimizerBase ()
 
- 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

 ConjugateGradientLineSearchOptimizerv4 (const Self &)
 
void operator= (const Self &)
 

Private Attributes

DerivativeType m_ConjugateGradient
 
DerivativeType m_LastGradient
 

Additional Inherited Members

- Protected Types inherited from itk::GradientDescentOptimizerBasev4
typedef
GradientDescentOptimizerBasev4ModifyGradientByScalesThreader::IndexRangeType 
IndexRangeType
 
- Protected Attributes inherited from itk::GradientDescentLineSearchOptimizerv4
InternalComputationValueType m_Epsilon
 
unsigned int m_LineSearchIterations
 
InternalComputationValueType m_LowerLimit
 
unsigned int m_MaximumLineSearchIterations
 
InternalComputationValueType m_Phi
 
InternalComputationValueType m_Resphi
 
InternalComputationValueType m_UpperLimit
 

Member Typedef Documentation

Definition at line 54 of file itkConjugateGradientLineSearchOptimizerv4.h.

Type for the convergence checker

Definition at line 70 of file itkConjugateGradientLineSearchOptimizerv4.h.

Derivative type

Definition at line 60 of file itkConjugateGradientLineSearchOptimizerv4.h.

typedef Superclass::InternalComputationValueType itk::ConjugateGradientLineSearchOptimizerv4::InternalComputationValueType

Definition at line 67 of file itkConjugateGradientLineSearchOptimizerv4.h.

Metric type over which this class is templated

Definition at line 66 of file itkConjugateGradientLineSearchOptimizerv4.h.

Definition at line 53 of file itkConjugateGradientLineSearchOptimizerv4.h.

Standard class typedefs.

Definition at line 51 of file itkConjugateGradientLineSearchOptimizerv4.h.

Definition at line 52 of file itkConjugateGradientLineSearchOptimizerv4.h.

Constructor & Destructor Documentation

itk::ConjugateGradientLineSearchOptimizerv4::ConjugateGradientLineSearchOptimizerv4 ( )
protected

Default constructor

virtual itk::ConjugateGradientLineSearchOptimizerv4::~ConjugateGradientLineSearchOptimizerv4 ( )
protectedvirtual

Destructor

itk::ConjugateGradientLineSearchOptimizerv4::ConjugateGradientLineSearchOptimizerv4 ( const Self )
private

Member Function Documentation

virtual void itk::ConjugateGradientLineSearchOptimizerv4::AdvanceOneStep ( void  )
protectedvirtual

Advance one Step following the gradient direction. Includes transform update.

Reimplemented from itk::GradientDescentLineSearchOptimizerv4.

virtual::itk::LightObject::Pointer itk::ConjugateGradientLineSearchOptimizerv4::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 const char* itk::ConjugateGradientLineSearchOptimizerv4::GetNameOfClass ( ) const
virtual

Run-time type information (and related methods).

Reimplemented from itk::GradientDescentLineSearchOptimizerv4.

static Pointer itk::ConjugateGradientLineSearchOptimizerv4::New ( )
static

New macro for creation of through a Smart Pointer

void itk::ConjugateGradientLineSearchOptimizerv4::operator= ( const Self )
private
virtual void itk::ConjugateGradientLineSearchOptimizerv4::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::GradientDescentLineSearchOptimizerv4.

virtual void itk::ConjugateGradientLineSearchOptimizerv4::StartOptimization ( bool  doOnlyInitialization = false)
virtual

Start and run the optimization

Reimplemented from itk::GradientDescentOptimizerv4.

Member Data Documentation

DerivativeType itk::ConjugateGradientLineSearchOptimizerv4::m_ConjugateGradient
private

Definition at line 91 of file itkConjugateGradientLineSearchOptimizerv4.h.

DerivativeType itk::ConjugateGradientLineSearchOptimizerv4::m_LastGradient
private

Definition at line 90 of file itkConjugateGradientLineSearchOptimizerv4.h.


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