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itk::OnePlusOneEvolutionaryOptimizer Class Reference
[NumericsOptimizers]

1+1 evolutionary strategy optimizer More...

#include <itkOnePlusOneEvolutionaryOptimizer.h>

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List of all members.

Public Types

typedef SmartPointer< const SelfConstPointer
typedef CostFunctionType::Pointer CostFunctionPointer
typedef SingleValuedCostFunction CostFunctionType
typedef
CostFunctionType::DerivativeType 
DerivativeType
typedef
CostFunctionType::MeasureType 
MeasureType
typedef
Statistics::RandomVariateGeneratorBase 
NormalVariateGeneratorType
typedef Superclass::ParametersType ParametersType
typedef SmartPointer< SelfPointer
typedef Superclass::ScalesType ScalesType
typedef
OnePlusOneEvolutionaryOptimizer 
Self
typedef
SingleValuedNonLinearOptimizer 
Superclass

Public Member Functions

virtual LightObject::Pointer CreateAnother () const
virtual void DebugOff () const
virtual void DebugOn () const
virtual void Delete ()
virtual const bool & GetCatchGetValueException ()
CommandGetCommand (unsigned long tag)
virtual const CostFunctionTypeGetCostFunction ()
virtual const unsigned int & GetCurrentIteration ()
virtual const ParametersTypeGetCurrentPosition ()
bool GetDebug () const
virtual const double & GetFrobeniusNorm ()
virtual const bool & GetInitialized ()
virtual const ParametersTypeGetInitialPosition ()
MetaDataDictionaryGetMetaDataDictionary (void)
const MetaDataDictionaryGetMetaDataDictionary (void) const
virtual const double & GetMetricWorstPossibleValue ()
bool GetMinimize () const
virtual unsigned long GetMTime () const
virtual const char * GetNameOfClass () const
virtual int GetReferenceCount () const
virtual const ScalesTypeGetScales ()
const std::string GetStopConditionDescription () const
MeasureType GetValue (const ParametersType &parameters) const
bool HasObserver (const EventObject &event) const
void Initialize (double initialRadius, double grow=-1, double shrink=-1)
void InvokeEvent (const EventObject &)
void InvokeEvent (const EventObject &) const
void MinimizeOff (void)
void MinimizeOn (void)
virtual void Modified () const
void Print (std::ostream &os, Indent indent=0) const
virtual void Register () const
void RemoveAllObservers ()
void RemoveObserver (unsigned long tag)
virtual void SetCatchGetValueException (bool _arg)
virtual void SetCostFunction (CostFunctionType *costFunction)
void SetDebug (bool debugFlag) const
virtual void SetInitialPosition (const ParametersType &param)
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void SetMetricWorstPossibleValue (double _arg)
void SetMinimize (bool v)
void SetNormalVariateGenerator (NormalVariateGeneratorType *generator)
virtual void SetReferenceCount (int)
void SetScales (const ScalesType &scales)
void StartOptimization ()
void StopOptimization ()
virtual void UnRegister () const

virtual void SetMaximize (bool _arg)
virtual void MaximizeOn ()
virtual void MaximizeOff ()
virtual const bool & GetMaximize ()

virtual void SetMaximumIteration (unsigned int _arg)
virtual const unsigned int & GetMaximumIteration ()

virtual void SetGrowthFactor (double _arg)
virtual const double & GetGrowthFactor ()

virtual void SetShrinkFactor (double _arg)
virtual const double & GetShrinkFactor ()

virtual void SetInitialRadius (double _arg)
virtual const double & GetInitialRadius ()

virtual void SetEpsilon (double _arg)
virtual const double & GetEpsilon ()

virtual const MeasureTypeGetCurrentCost ()
MeasureType GetValue () const

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

Static Public Member Functions

static void BreakOnError ()
static Pointer New ()

static void SetGlobalWarningDisplay (bool flag)
static bool GetGlobalWarningDisplay ()
static void GlobalWarningDisplayOn ()
static void GlobalWarningDisplayOff ()

Protected Types

typedef int InternalReferenceCountType

Protected Member Functions

 OnePlusOneEvolutionaryOptimizer ()
 OnePlusOneEvolutionaryOptimizer (const OnePlusOneEvolutionaryOptimizer &)
bool PrintObservers (std::ostream &os, Indent indent) const
void PrintSelf (std::ostream &os, Indent indent) const
virtual void SetCurrentPosition (const ParametersType &param)
virtual ~OnePlusOneEvolutionaryOptimizer ()

virtual void PrintHeader (std::ostream &os, Indent indent) const
virtual void PrintTrailer (std::ostream &os, Indent indent) const

Protected Attributes

CostFunctionPointer m_CostFunction
ParametersType m_CurrentPosition
InternalReferenceCountType m_ReferenceCount
SimpleFastMutexLock m_ReferenceCountLock
bool m_ScalesInitialized

Detailed Description

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

Definition at line 69 of file itkOnePlusOneEvolutionaryOptimizer.h.


Member Typedef Documentation

Reimplemented from itk::SingleValuedNonLinearOptimizer.

Definition at line 77 of file itkOnePlusOneEvolutionaryOptimizer.h.

Reimplemented from itk::SingleValuedNonLinearOptimizer.

Definition at line 87 of file itkOnePlusOneEvolutionaryOptimizer.h.

Type of the Cost Function

Reimplemented from itk::SingleValuedNonLinearOptimizer.

Definition at line 83 of file itkOnePlusOneEvolutionaryOptimizer.h.

Derivative type. It defines a type used to return the cost function derivative.

Definition at line 64 of file itkSingleValuedNonLinearOptimizer.h.

typedef int itk::LightObject::InternalReferenceCountType [protected, inherited]

Define the type of the reference count according to the target. This allows the use of atomic operations

Definition at line 139 of file itkLightObject.h.

Measure type. It defines a type used to return the cost function value.

Definition at line 60 of file itkSingleValuedNonLinearOptimizer.h.

Normal random variate generator type.

Definition at line 90 of file itkOnePlusOneEvolutionaryOptimizer.h.

Parameters type. It defines a position in the optimization search space.

Reimplemented from itk::NonLinearOptimizer.

Reimplemented in itk::AmoebaOptimizer, itk::FRPROptimizer, itk::PowellOptimizer, and itk::QuaternionRigidTransformGradientDescentOptimizer.

Definition at line 48 of file itkSingleValuedNonLinearOptimizer.h.

Reimplemented from itk::SingleValuedNonLinearOptimizer.

Definition at line 76 of file itkOnePlusOneEvolutionaryOptimizer.h.

Scale type. This array defines scale to be applied to parameters before being evaluated in the cost function. This allows to map to a more convenient space. In particular this is used to normalize parameter spaces in which some parameters have a different dynamic range.

Reimplemented from itk::Optimizer.

Definition at line 52 of file itkNonLinearOptimizer.h.

Standard "Self" typedef.

Reimplemented from itk::SingleValuedNonLinearOptimizer.

Definition at line 74 of file itkOnePlusOneEvolutionaryOptimizer.h.

Reimplemented from itk::SingleValuedNonLinearOptimizer.

Definition at line 75 of file itkOnePlusOneEvolutionaryOptimizer.h.


Constructor & Destructor Documentation

itk::OnePlusOneEvolutionaryOptimizer::OnePlusOneEvolutionaryOptimizer (  )  [protected]
itk::OnePlusOneEvolutionaryOptimizer::OnePlusOneEvolutionaryOptimizer ( const OnePlusOneEvolutionaryOptimizer  )  [protected]
virtual itk::OnePlusOneEvolutionaryOptimizer::~OnePlusOneEvolutionaryOptimizer (  )  [protected, virtual]

Member Function Documentation

unsigned long itk::Object::AddObserver ( const EventObject event,
Command  
) [inherited]

Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an itk::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects

unsigned long itk::Object::AddObserver ( const EventObject event,
Command  
) const [inherited]

Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an itk::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects

static void itk::LightObject::BreakOnError (  )  [static, inherited]

This method is called when itkExceptionMacro executes. It allows the debugger to break on error.

virtual LightObject::Pointer itk::Object::CreateAnother (  )  const [virtual, inherited]
virtual void itk::Object::DebugOff (  )  const [virtual, inherited]

Turn debugging output off.

virtual void itk::Object::DebugOn (  )  const [virtual, inherited]

Turn debugging output on.

virtual void itk::LightObject::Delete (  )  [virtual, inherited]

Delete an itk object. This method should always be used to delete an object when the new operator was used to create it. Using the C delete method will not work with reference counting.

virtual const bool& itk::OnePlusOneEvolutionaryOptimizer::GetCatchGetValueException (  )  [virtual]
Command* itk::Object::GetCommand ( unsigned long  tag  )  [inherited]

Get the command associated with the given tag. NOTE: This returns a pointer to a Command, but it is safe to asign this to a Command::Pointer. Since Command inherits from LightObject, at this point in the code, only a pointer or a reference to the Command can be used.

virtual const CostFunctionType* itk::SingleValuedNonLinearOptimizer::GetCostFunction (  )  [virtual, inherited]

Get the cost function.

virtual const MeasureType& itk::OnePlusOneEvolutionaryOptimizer::GetCurrentCost (  )  [virtual]

Return Current Value

virtual const unsigned int& itk::OnePlusOneEvolutionaryOptimizer::GetCurrentIteration (  )  [virtual]

Return Current Iteration

virtual const ParametersType& itk::Optimizer::GetCurrentPosition (  )  [virtual, inherited]

Get current position of the optimization.

bool itk::Object::GetDebug (  )  const [inherited]

Get the value of the debug flag.

virtual const double& itk::OnePlusOneEvolutionaryOptimizer::GetEpsilon (  )  [virtual]

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

virtual const double& itk::OnePlusOneEvolutionaryOptimizer::GetFrobeniusNorm (  )  [virtual]

Get the current Frobenius norm of covariance matrix

static bool itk::Object::GetGlobalWarningDisplay (  )  [static, inherited]

This is a global flag that controls whether any debug, warning or error messages are displayed.

virtual const double& itk::OnePlusOneEvolutionaryOptimizer::GetGrowthFactor (  )  [virtual]

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

virtual const bool& itk::OnePlusOneEvolutionaryOptimizer::GetInitialized (  )  [virtual]

Return if optimizer has been initialized

virtual const ParametersType& itk::Optimizer::GetInitialPosition (  )  [virtual, inherited]

Get the position to initialize the optimization.

virtual const double& itk::OnePlusOneEvolutionaryOptimizer::GetInitialRadius (  )  [virtual]

Set/Get initial search radius in parameter space

virtual const bool& itk::OnePlusOneEvolutionaryOptimizer::GetMaximize (  )  [virtual]

Set if the Optimizer should Maximize the metric

virtual const unsigned int& itk::OnePlusOneEvolutionaryOptimizer::GetMaximumIteration (  )  [virtual]

Set/Get maximum iteration limit.

MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void   )  [inherited]
Returns:
A reference to this objects MetaDataDictionary.
Warning:
This reference may be changed.
const MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void   )  const [inherited]
Returns:
A constant reference to this objects MetaDataDictionary.
virtual const double& itk::OnePlusOneEvolutionaryOptimizer::GetMetricWorstPossibleValue (  )  [virtual]
bool itk::OnePlusOneEvolutionaryOptimizer::GetMinimize (  )  const [inline]

Definition at line 98 of file itkOnePlusOneEvolutionaryOptimizer.h.

virtual unsigned long itk::Object::GetMTime (  )  const [virtual, inherited]

Return this objects modified time.

Reimplemented in itk::ImageRegistrationMethod< TFixedImage, TMovingImage >, itk::ImageToSpatialObjectRegistrationMethod< TFixedImage, TMovingSpatialObject >, itk::MultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage >, itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >, itk::PointSetToPointSetRegistrationMethod< TFixedPointSet, TMovingPointSet >, itk::DeformationFieldSource< TOutputImage >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >, itk::ImageAdaptor< TImage, TAccessor >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >, itk::ImageSpatialObject< TDimension, TPixelType >, itk::MeshSpatialObject< TMesh >, itk::SceneSpatialObject< TSpaceDimension >, itk::SpatialObject< TDimension >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageSpatialObject< TDimension, unsigned char >, itk::SpatialObject< 3 >, and itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >.

Referenced by itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >::GetObjectMTime().

virtual const char* itk::OnePlusOneEvolutionaryOptimizer::GetNameOfClass (  )  const [virtual]

Run-time type information (and related methods).

Reimplemented from itk::SingleValuedNonLinearOptimizer.

virtual int itk::LightObject::GetReferenceCount (  )  const [inline, virtual, inherited]

Gets the reference count on this object.

Definition at line 106 of file itkLightObject.h.

virtual const ScalesType& itk::Optimizer::GetScales (  )  [virtual, inherited]

Get current parameters scaling.

virtual const double& itk::OnePlusOneEvolutionaryOptimizer::GetShrinkFactor (  )  [virtual]

Set/Get the search radius shrink factor.

const std::string itk::OnePlusOneEvolutionaryOptimizer::GetStopConditionDescription (  )  const [virtual]

Get the reason for termination

Reimplemented from itk::Optimizer.

MeasureType itk::SingleValuedNonLinearOptimizer::GetValue ( const ParametersType parameters  )  const [inherited]

Get the cost function value at the given parameters.

Reimplemented in itk::SPSAOptimizer.

MeasureType itk::OnePlusOneEvolutionaryOptimizer::GetValue ( void   )  const [inline]

Return Current Value

Definition at line 149 of file itkOnePlusOneEvolutionaryOptimizer.h.

static void itk::Object::GlobalWarningDisplayOff (  )  [inline, static, inherited]

This is a global flag that controls whether any debug, warning or error messages are displayed.

Definition at line 100 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

static void itk::Object::GlobalWarningDisplayOn (  )  [inline, static, inherited]

This is a global flag that controls whether any debug, warning or error messages are displayed.

Definition at line 98 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

bool itk::Object::HasObserver ( const EventObject event  )  const [inherited]

Return true if an observer is registered for this event.

void itk::OnePlusOneEvolutionaryOptimizer::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

void itk::Object::InvokeEvent ( const EventObject  )  const [inherited]

Call Execute on all the Commands observing this event id. The actions triggered by this call doesn't modify this object.

void itk::Object::InvokeEvent ( const EventObject  )  [inherited]

Call Execute on all the Commands observing this event id.

virtual void itk::OnePlusOneEvolutionaryOptimizer::MaximizeOff (  )  [virtual]

Set if the Optimizer should Maximize the metric

virtual void itk::OnePlusOneEvolutionaryOptimizer::MaximizeOn (  )  [virtual]

Set if the Optimizer should Maximize the metric

void itk::OnePlusOneEvolutionaryOptimizer::MinimizeOff ( void   )  [inline]

Definition at line 104 of file itkOnePlusOneEvolutionaryOptimizer.h.

void itk::OnePlusOneEvolutionaryOptimizer::MinimizeOn ( void   )  [inline]

Definition at line 102 of file itkOnePlusOneEvolutionaryOptimizer.h.

virtual void itk::Object::Modified (  )  const [virtual, inherited]

Update the modification time for this object. Many filters rely on the modification time to determine if they need to recompute their data.

Reimplemented in itk::NormalizeImageFilter< TInputImage, TOutputImage >, itk::ImageAdaptor< TImage, TAccessor >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, TFilter >, itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, and itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, RankImageFilter< TInputImage, TInputImage, FlatStructuringElement< ::itk::GetImageDimension< TInputImage >::ImageDimension > > >.

Referenced by itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InsertNarrowBandNode(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBand(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandInnerRadius(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandTotalRadius(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetTotalObservedScale(), and itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation().

static Pointer itk::OnePlusOneEvolutionaryOptimizer::New (  )  [static]

Method for creation through the object factory.

Reimplemented from itk::SingleValuedNonLinearOptimizer.

void itk::LightObject::Print ( std::ostream &  os,
Indent  indent = 0 
) const [inherited]

Cause the object to print itself out.

Referenced by itk::WeakPointer< ProcessObject >::Print().

virtual void itk::LightObject::PrintHeader ( std::ostream &  os,
Indent  indent 
) const [protected, virtual, inherited]

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.

bool itk::Object::PrintObservers ( std::ostream &  os,
Indent  indent 
) const [protected, inherited]
void itk::OnePlusOneEvolutionaryOptimizer::PrintSelf ( std::ostream &  os,
Indent  indent 
) const [protected, virtual]

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::SingleValuedNonLinearOptimizer.

virtual void itk::LightObject::PrintTrailer ( std::ostream &  os,
Indent  indent 
) const [protected, virtual, inherited]

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.

virtual void itk::Object::Register (  )  const [virtual, inherited]

Increase the reference count (mark as used by another object).

Reimplemented from itk::LightObject.

void itk::Object::RemoveAllObservers (  )  [inherited]

Remove all observers .

void itk::Object::RemoveObserver ( unsigned long  tag  )  [inherited]

Remove the observer with this tag value.

virtual void itk::OnePlusOneEvolutionaryOptimizer::SetCatchGetValueException ( bool  _arg  )  [virtual]
virtual void itk::SingleValuedNonLinearOptimizer::SetCostFunction ( CostFunctionType costFunction  )  [virtual, inherited]

Set the cost function.

virtual void itk::Optimizer::SetCurrentPosition ( const ParametersType param  )  [protected, virtual, inherited]

Set the current position.

void itk::Object::SetDebug ( bool  debugFlag  )  const [inherited]

Set the value of the debug flag. A non-zero value turns debugging on.

virtual void itk::OnePlusOneEvolutionaryOptimizer::SetEpsilon ( double  _arg  )  [virtual]

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

static void itk::Object::SetGlobalWarningDisplay ( bool  flag  )  [static, inherited]

This is a global flag that controls whether any debug, warning or error messages are displayed.

Referenced by itk::Object::GlobalWarningDisplayOff(), and itk::Object::GlobalWarningDisplayOn().

virtual void itk::OnePlusOneEvolutionaryOptimizer::SetGrowthFactor ( double  _arg  )  [virtual]

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

virtual void itk::Optimizer::SetInitialPosition ( const ParametersType param  )  [virtual, inherited]

Set the position to initialize the optimization.

virtual void itk::OnePlusOneEvolutionaryOptimizer::SetInitialRadius ( double  _arg  )  [virtual]

Set/Get initial search radius in parameter space

virtual void itk::OnePlusOneEvolutionaryOptimizer::SetMaximize ( bool  _arg  )  [virtual]

Set if the Optimizer should Maximize the metric

virtual void itk::OnePlusOneEvolutionaryOptimizer::SetMaximumIteration ( unsigned int  _arg  )  [virtual]

Set/Get maximum iteration limit.

void itk::Object::SetMetaDataDictionary ( const MetaDataDictionary rhs  )  [inherited]
Returns:
Set the MetaDataDictionary
virtual void itk::OnePlusOneEvolutionaryOptimizer::SetMetricWorstPossibleValue ( double  _arg  )  [virtual]
void itk::OnePlusOneEvolutionaryOptimizer::SetMinimize ( bool  v  )  [inline]

Definition at line 100 of file itkOnePlusOneEvolutionaryOptimizer.h.

void itk::OnePlusOneEvolutionaryOptimizer::SetNormalVariateGenerator ( NormalVariateGeneratorType generator  ) 
virtual void itk::Object::SetReferenceCount ( int   )  [virtual, inherited]

Sets the reference count (use with care)

Reimplemented from itk::LightObject.

void itk::Optimizer::SetScales ( const ScalesType scales  )  [inherited]

Set current parameters scaling.

virtual void itk::OnePlusOneEvolutionaryOptimizer::SetShrinkFactor ( double  _arg  )  [virtual]

Set/Get the search radius shrink factor.

void itk::OnePlusOneEvolutionaryOptimizer::StartOptimization (  )  [virtual]

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::Optimizer.

void itk::OnePlusOneEvolutionaryOptimizer::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 166 of file itkOnePlusOneEvolutionaryOptimizer.h.

virtual void itk::Object::UnRegister (  )  const [virtual, inherited]

Decrease the reference count (release by another object).

Reimplemented from itk::LightObject.


Member Data Documentation

Definition at line 80 of file itkSingleValuedNonLinearOptimizer.h.

Definition at line 98 of file itkOptimizer.h.

Number of uses of this object by other objects.

Definition at line 144 of file itkLightObject.h.

Mutex lock to protect modification to the reference count

Definition at line 147 of file itkLightObject.h.

bool itk::Optimizer::m_ScalesInitialized [protected, inherited]

Definition at line 93 of file itkOptimizer.h.


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

Generated at Tue Jul 13 2010 00:48:35 for ITK by doxygen 1.7.1 written by Dimitri van Heesch, © 1997-2000