Main Page   Groups   Namespace List   Class Hierarchy   Alphabetical List   Compound List   File List   Namespace Members   Compound Members   File Members   Concepts

itk::LBFGSOptimizer Class Reference
[NumericsOptimizers]

#include <itkLBFGSOptimizer.h>

Inheritance diagram for itk::LBFGSOptimizer:

Inheritance graph
[legend]
Collaboration diagram for itk::LBFGSOptimizer:

Collaboration graph
[legend]

List of all members.


Detailed Description

Wrap of the vnl_lbfgs algorithm.

Definition at line 31 of file itkLBFGSOptimizer.h.


Public Types

typedef ReceptorMemberCommand
< Self
CommandType
typedef SmartPointer< const SelfConstPointer
typedef CostFunctionType::Pointer CostFunctionPointer
typedef SingleValuedCostFunction CostFunctionType
typedef
CostFunctionType::DerivativeType 
DerivativeType
typedef vnl_lbfgs InternalOptimizerType
typedef vnl_vector< double > InternalParametersType
typedef
CostFunctionType::MeasureType 
MeasureType
typedef Superclass::ParametersType ParametersType
typedef SmartPointer< SelfPointer
typedef Superclass::ScalesType ScalesType
typedef LBFGSOptimizer Self
typedef
SingleValuedNonLinearVnlOptimizer 
Superclass

Public Member Functions

virtual LightObject::Pointer CreateAnother () const
virtual void DebugOff () const
virtual void DebugOn () const
virtual void Delete ()
CommandGetCommand (unsigned long tag)
virtual const CostFunctionTypeGetCostFunction ()
virtual const ParametersTypeGetCurrentPosition ()
bool GetDebug () const
virtual const ParametersTypeGetInitialPosition ()
const MetaDataDictionaryGetMetaDataDictionary (void) const
MetaDataDictionaryGetMetaDataDictionary (void)
virtual unsigned long GetMTime () const
virtual const char * GetNameOfClass () const
vnl_lbfgs * GetOptimizer (void)
virtual int GetReferenceCount () const
virtual const ScalesTypeGetScales ()
MeasureType GetValue (const ParametersType &parameters) const
MeasureType GetValue ()
bool HasObserver (const EventObject &event) const
void InvokeEvent (const EventObject &) const
void InvokeEvent (const EventObject &)
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 SetCostFunction (CostFunctionType *costFunction)
virtual void SetCostFunction (SingleValuedCostFunction *costFunction)
void SetDebug (bool debugFlag) const
virtual void SetInitialPosition (const ParametersType &param)
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void SetReferenceCount (int)
void SetScales (const ScalesType &scales)
void StartOptimization (void)
virtual void UnRegister () const
unsigned long AddObserver (const EventObject &event, Command *) const
unsigned long AddObserver (const EventObject &event, Command *)
virtual const ParametersTypeGetCachedCurrentPosition ()
virtual const DerivativeTypeGetCachedDerivative ()
virtual const MeasureTypeGetCachedValue ()
virtual double GetDefaultStepLength ()
virtual void SetDefaultStepLength (double stp)
virtual double GetGradientConvergenceTolerance ()
virtual void SetGradientConvergenceTolerance (double gtol)
virtual double GetLineSearchAccuracy ()
virtual void SetLineSearchAccuracy (double tol)
virtual const bool & GetMaximize ()
bool GetMinimize () const
virtual void MaximizeOff ()
virtual void MaximizeOn ()
void MinimizeOff ()
void MinimizeOn ()
virtual void SetMaximize (bool _arg)
void SetMinimize (bool v)
virtual unsigned int GetMaximumNumberOfFunctionEvaluations ()
virtual void SetMaximumNumberOfFunctionEvaluations (unsigned int n)
virtual bool GetTrace ()
virtual void SetTrace (bool flag)
virtual void TraceOff ()
virtual void TraceOn ()

Static Public Member Functions

static void BreakOnError ()
static Pointer New ()
static bool GetGlobalWarningDisplay ()
static void GlobalWarningDisplayOff ()
static void GlobalWarningDisplayOn ()
static void SetGlobalWarningDisplay (bool flag)

Protected Types

typedef
Superclass::CostFunctionAdaptorType 
CostFunctionAdaptorType
typedef int InternalReferenceCountType

Protected Member Functions

CostFunctionAdaptorTypeGetCostFunctionAdaptor (void)
const CostFunctionAdaptorTypeGetCostFunctionAdaptor (void) const
CostFunctionAdaptorTypeGetNonConstCostFunctionAdaptor (void) const
 LBFGSOptimizer ()
bool PrintObservers (std::ostream &os, Indent indent) const
void PrintSelf (std::ostream &os, Indent indent) const
void SetCostFunctionAdaptor (CostFunctionAdaptorType *adaptor)
virtual void SetCurrentPosition (const ParametersType &param)
virtual ~LBFGSOptimizer ()
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

Member Typedef Documentation

Command observer that will interact with the ITK-VNL cost-function adaptor in order to generate iteration events. This will allow to overcome the limitation of VNL optimizers not offering callbacks for every iteration

Definition at line 48 of file itkSingleValuedNonLinearVnlOptimizer.h.

Reimplemented from itk::SingleValuedNonLinearVnlOptimizer.

Definition at line 39 of file itkLBFGSOptimizer.h.

Reimplemented from itk::SingleValuedNonLinearVnlOptimizer.

Definition at line 110 of file itkLBFGSOptimizer.h.

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

Definition at line 64 of file itkSingleValuedNonLinearOptimizer.h.

Internal optimizer type.

Definition at line 51 of file itkLBFGSOptimizer.h.

InternalParameters typedef.

Definition at line 45 of file itkLBFGSOptimizer.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.

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::SingleValuedNonLinearVnlOptimizer.

Definition at line 38 of file itkLBFGSOptimizer.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::SingleValuedNonLinearVnlOptimizer.

Definition at line 36 of file itkLBFGSOptimizer.h.

Reimplemented from itk::SingleValuedNonLinearVnlOptimizer.

Definition at line 37 of file itkLBFGSOptimizer.h.


Constructor & Destructor Documentation

itk::LBFGSOptimizer::LBFGSOptimizer (  )  [protected]

virtual itk::LBFGSOptimizer::~LBFGSOptimizer (  )  [protected, virtual]


Member Function Documentation

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

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

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.

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 ParametersType& itk::SingleValuedNonLinearVnlOptimizer::GetCachedCurrentPosition (  )  [virtual, inherited]

virtual const DerivativeType& itk::SingleValuedNonLinearVnlOptimizer::GetCachedDerivative (  )  [virtual, inherited]

virtual const MeasureType& itk::SingleValuedNonLinearVnlOptimizer::GetCachedValue (  )  [virtual, inherited]

Return Cached Values. These method have the advantage of not triggering a recomputation of the metric value, but it has the disadvantage of returning a value that may not be the one corresponding to the current parameters. For GUI update purposes, this method is a good option, for mathematical validation you should rather call GetValue().

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.

CostFunctionAdaptorType* itk::SingleValuedNonLinearVnlOptimizer::GetCostFunctionAdaptor ( void   )  [protected, inherited]

const CostFunctionAdaptorType* itk::SingleValuedNonLinearVnlOptimizer::GetCostFunctionAdaptor ( void   )  const [protected, inherited]

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 double itk::LBFGSOptimizer::GetDefaultStepLength (  )  [virtual]

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

virtual double itk::LBFGSOptimizer::GetGradientConvergenceTolerance (  )  [virtual]

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

Get the position to initialize the optimization.

virtual double itk::LBFGSOptimizer::GetLineSearchAccuracy (  )  [virtual]

virtual const bool& itk::SingleValuedNonLinearVnlOptimizer::GetMaximize (  )  [virtual, inherited]

Methods to define whether the cost function will be maximized or minimized. By default the VNL amoeba optimizer is only a minimizer. Maximization is implemented here by notifying the CostFunctionAdaptor which in its turn will multiply the function values and its derivative by -1.0.

virtual unsigned int itk::LBFGSOptimizer::GetMaximumNumberOfFunctionEvaluations (  )  [virtual]

const MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void   )  const [inherited]

Returns:
A constant reference to this objects MetaDataDictionary.

MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void   )  [inherited]

Returns:
A reference to this objects MetaDataDictionary.
Warning:
This reference may be changed.

bool itk::SingleValuedNonLinearVnlOptimizer::GetMinimize (  )  const [inline, inherited]

Methods to define whether the cost function will be maximized or minimized. By default the VNL amoeba optimizer is only a minimizer. Maximization is implemented here by notifying the CostFunctionAdaptor which in its turn will multiply the function values and its derivative by -1.0.

Definition at line 72 of file itkSingleValuedNonLinearVnlOptimizer.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, itk::Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageAdaptor< itk::VectorImage< TPixelType, Dimension >, itk::Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, itk::PixelAccessor< TInternalType, TExternalType > >, itk::ImageAdaptor< TImage, itk::Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, itk::Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, 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::LBFGSOptimizer::GetNameOfClass (  )  const [virtual]

Run-time type information (and related methods).

Reimplemented from itk::SingleValuedNonLinearVnlOptimizer.

CostFunctionAdaptorType* itk::SingleValuedNonLinearVnlOptimizer::GetNonConstCostFunctionAdaptor ( void   )  const [protected, inherited]

The purpose of this method is to get around the lack of const-correctness in VNL cost-functions and optimizers

vnl_lbfgs* itk::LBFGSOptimizer::GetOptimizer ( void   ) 

Method for getting access to the internal optimizer.

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 bool itk::LBFGSOptimizer::GetTrace (  )  [virtual]

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

Get the cost function value at the given parameters.

Reimplemented in itk::SPSAOptimizer.

MeasureType itk::LBFGSOptimizer::GetValue (  ) 

Return Current Value

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

Definition at line 100 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

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

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::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::SingleValuedNonLinearVnlOptimizer::MaximizeOff (  )  [virtual, inherited]

Methods to define whether the cost function will be maximized or minimized. By default the VNL amoeba optimizer is only a minimizer. Maximization is implemented here by notifying the CostFunctionAdaptor which in its turn will multiply the function values and its derivative by -1.0.

virtual void itk::SingleValuedNonLinearVnlOptimizer::MaximizeOn (  )  [virtual, inherited]

Methods to define whether the cost function will be maximized or minimized. By default the VNL amoeba optimizer is only a minimizer. Maximization is implemented here by notifying the CostFunctionAdaptor which in its turn will multiply the function values and its derivative by -1.0.

void itk::SingleValuedNonLinearVnlOptimizer::MinimizeOff (  )  [inline, inherited]

Methods to define whether the cost function will be maximized or minimized. By default the VNL amoeba optimizer is only a minimizer. Maximization is implemented here by notifying the CostFunctionAdaptor which in its turn will multiply the function values and its derivative by -1.0.

Definition at line 78 of file itkSingleValuedNonLinearVnlOptimizer.h.

void itk::SingleValuedNonLinearVnlOptimizer::MinimizeOn (  )  [inline, inherited]

Methods to define whether the cost function will be maximized or minimized. By default the VNL amoeba optimizer is only a minimizer. Maximization is implemented here by notifying the CostFunctionAdaptor which in its turn will multiply the function values and its derivative by -1.0.

Definition at line 76 of file itkSingleValuedNonLinearVnlOptimizer.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, itk::Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageAdaptor< itk::VectorImage< TPixelType, Dimension >, itk::Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, itk::PixelAccessor< TInternalType, TExternalType > >, itk::ImageAdaptor< TImage, itk::Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, itk::Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, and itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, itk::RankImageFilter< TInputImage, TInputImage, itk::FlatStructuringElement< ::itk::GetImageDimension< TInputImage >::ImageDimension > > >.

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

static Pointer itk::LBFGSOptimizer::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]

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::LBFGSOptimizer::PrintSelf ( std::ostream &  os,
Indent  indent 
) const [protected, virtual]

Print out internal state

Reimplemented from itk::SingleValuedNonLinearVnlOptimizer.

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::SingleValuedNonLinearOptimizer::SetCostFunction ( CostFunctionType costFunction  )  [virtual, inherited]

Set the cost function.

virtual void itk::LBFGSOptimizer::SetCostFunction ( SingleValuedCostFunction costFunction  )  [virtual]

Plug in a Cost Function into the optimizer

Implements itk::SingleValuedNonLinearVnlOptimizer.

void itk::SingleValuedNonLinearVnlOptimizer::SetCostFunctionAdaptor ( CostFunctionAdaptorType adaptor  )  [protected, inherited]

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::LBFGSOptimizer::SetDefaultStepLength ( double  stp  )  [virtual]

Set/Get the default step size. This is a positive real number with a default value of 1.0 which determines the stpe size in the line search.

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::LBFGSOptimizer::SetGradientConvergenceTolerance ( double  gtol  )  [virtual]

Set/Get the gradient convergence tolerance. This is a positive real number that determines the accuracy with which the solution is to be found. The optimization terminates when: ||G|| < gtol max(1,||X||) where ||.|| denotes the Euclidean norm.

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

Set the position to initialize the optimization.

virtual void itk::LBFGSOptimizer::SetLineSearchAccuracy ( double  tol  )  [virtual]

Set/Get the line search accuracy. This is a positive real number with a default value of 0.9, which controls the accuracy of the line search. If the function and gradient evalutions are inexpensive with respect to the cost of the iterations it may be advantageous to set the value to a small value (say 0.1).

virtual void itk::SingleValuedNonLinearVnlOptimizer::SetMaximize ( bool  _arg  )  [virtual, inherited]

Methods to define whether the cost function will be maximized or minimized. By default the VNL amoeba optimizer is only a minimizer. Maximization is implemented here by notifying the CostFunctionAdaptor which in its turn will multiply the function values and its derivative by -1.0.

virtual void itk::LBFGSOptimizer::SetMaximumNumberOfFunctionEvaluations ( unsigned int  n  )  [virtual]

Set/Get the maximum number of function evaluations allowed.

void itk::Object::SetMetaDataDictionary ( const MetaDataDictionary rhs  )  [inherited]

Returns:
Set the MetaDataDictionary

void itk::SingleValuedNonLinearVnlOptimizer::SetMinimize ( bool  v  )  [inline, inherited]

Methods to define whether the cost function will be maximized or minimized. By default the VNL amoeba optimizer is only a minimizer. Maximization is implemented here by notifying the CostFunctionAdaptor which in its turn will multiply the function values and its derivative by -1.0.

Definition at line 74 of file itkSingleValuedNonLinearVnlOptimizer.h.

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::LBFGSOptimizer::SetTrace ( bool  flag  )  [virtual]

Set/Get the optimizer trace flag. If set to true, the optimizer prints out information every iteration.

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

Start optimization with an initial value.

Reimplemented from itk::Optimizer.

virtual void itk::LBFGSOptimizer::TraceOff (  )  [virtual]

virtual void itk::LBFGSOptimizer::TraceOn (  )  [virtual]

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

Decrease the reference count (release by another object).

Reimplemented from itk::LightObject.

Referenced by itk::SmartPointer< itk::MutualInformationImageToImageMetric >::operator=().


Member Data Documentation

Definition at line 80 of file itkSingleValuedNonLinearOptimizer.h.

Definition at line 95 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 90 of file itkOptimizer.h.


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

Generated at Thu May 28 15:35:28 2009 for ITK by doxygen 1.5.5 written by Dimitri van Heesch, © 1997-2000