1+1 evolutionary strategy optimizer More...
#include <itkOnePlusOneEvolutionaryOptimizer.h>
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)
Definition at line 69 of file itkOnePlusOneEvolutionaryOptimizer.h.
typedef SmartPointer<const Self> itk::OnePlusOneEvolutionaryOptimizer::ConstPointer |
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.
typedef CostFunctionType::DerivativeType itk::SingleValuedNonLinearOptimizer::DerivativeType [inherited] |
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.
typedef CostFunctionType::MeasureType itk::SingleValuedNonLinearOptimizer::MeasureType [inherited] |
Measure type. It defines a type used to return the cost function value.
Definition at line 60 of file itkSingleValuedNonLinearOptimizer.h.
typedef Statistics::RandomVariateGeneratorBase itk::OnePlusOneEvolutionaryOptimizer::NormalVariateGeneratorType |
Normal random variate generator type.
Definition at line 90 of file itkOnePlusOneEvolutionaryOptimizer.h.
typedef Superclass::ParametersType itk::SingleValuedNonLinearOptimizer::ParametersType [inherited] |
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.
typedef Superclass::ScalesType itk::NonLinearOptimizer::ScalesType [inherited] |
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.
itk::OnePlusOneEvolutionaryOptimizer::OnePlusOneEvolutionaryOptimizer | ( | ) | [protected] |
itk::OnePlusOneEvolutionaryOptimizer::OnePlusOneEvolutionaryOptimizer | ( | const OnePlusOneEvolutionaryOptimizer & | ) | [protected] |
virtual itk::OnePlusOneEvolutionaryOptimizer::~OnePlusOneEvolutionaryOptimizer | ( | ) | [protected, virtual] |
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] |
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::LightObject.
Reimplemented in itk::BSplineDeformableTransform< TScalarType, NDimensions, VSplineOrder >, itk::CreateObjectFunction< T >, itk::TransformFactoryBase, itk::AnalyzeImageIOFactory, itk::BioRadImageIOFactory, itk::BMPImageIOFactory, itk::Brains2MaskImageIOFactory, itk::DICOMImageIO2Factory, itk::DicomImageIOFactory, itk::GDCMImageIOFactory, itk::GE4ImageIOFactory, itk::GE5ImageIOFactory, itk::GEAdwImageIOFactory, itk::GiplImageIOFactory, itk::JPEGImageIOFactory, itk::LSMImageIOFactory, itk::MetaImageIOFactory, itk::NiftiImageIOFactory, itk::NrrdImageIOFactory, itk::PNGImageIOFactory, itk::RawImageIOFactory< TPixel, VImageDimension >, itk::SiemensVisionImageIOFactory, itk::StimulateImageIOFactory, itk::TIFFImageIOFactory, itk::VTKImageIOFactory, itk::Bruker2DSEQImageIOFactory, itk::MatlabTransformIOFactory, itk::MINC2ImageIOFactory, itk::MRCImageIOFactory, itk::PhilipsRECImageIOFactory, itk::TxtTransformIOFactory, itk::VoxBoCUBImageIOFactory, itk::VTKImageIO2Factory, and itk::SpatialObjectFactoryBase.
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] |
const MetaDataDictionary& itk::Object::GetMetaDataDictionary | ( | void | ) | const [inherited] |
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] |
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] |
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] |
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.
CostFunctionPointer itk::SingleValuedNonLinearOptimizer::m_CostFunction [protected, inherited] |
Definition at line 80 of file itkSingleValuedNonLinearOptimizer.h.
ParametersType itk::Optimizer::m_CurrentPosition [protected, inherited] |
Definition at line 98 of file itkOptimizer.h.
InternalReferenceCountType itk::LightObject::m_ReferenceCount [mutable, protected, inherited] |
Number of uses of this object by other objects.
Definition at line 144 of file itkLightObject.h.
SimpleFastMutexLock itk::LightObject::m_ReferenceCountLock [mutable, protected, inherited] |
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.