ITK  4.1.0
Insight Segmentation and Registration Toolkit
Public Types | Public Member Functions | Protected Member Functions | Private Attributes
itk::SingleValuedVnlCostFunctionAdaptor Class Reference

#include <itkSingleValuedVnlCostFunctionAdaptor.h>

+ Collaboration diagram for itk::SingleValuedVnlCostFunctionAdaptor:

List of all members.

Public Types

typedef
SingleValuedCostFunction::DerivativeType 
DerivativeType
typedef vnl_vector< double > InternalDerivativeType
typedef double InternalMeasureType
typedef vnl_vector< double > InternalParametersType
typedef
SingleValuedCostFunction::MeasureType 
MeasureType
typedef
SingleValuedCostFunction::ParametersType 
ParametersType
typedef Array< double > ScalesType

Public Member Functions

unsigned long AddObserver (const EventObject &event, Command *) const
virtual void compute (const InternalParametersType &x, InternalMeasureType *f, InternalDerivativeType *g)
void ConvertExternalToInternalGradient (const DerivativeType &input, InternalDerivativeType &output) const
virtual InternalMeasureType f (const InternalParametersType &inparameters)
const ParametersTypeGetCachedCurrentParameters () const
const DerivativeTypeGetCachedDerivative () const
const MeasureTypeGetCachedValue () const
const SingleValuedCostFunctionGetCostFunction (void) const
bool GetNegateCostFunction () const
virtual void gradf (const InternalParametersType &inparameters, InternalDerivativeType &gradient)
void NegateCostFunctionOff ()
void NegateCostFunctionOn ()
void SetCostFunction (SingleValuedCostFunction *costFunction)
void SetNegateCostFunction (bool value)
void SetScales (const ScalesType &scales)
 SingleValuedVnlCostFunctionAdaptor (unsigned int spaceDimension)

Protected Member Functions

void ReportIteration (const EventObject &event) const

Private Attributes

ParametersType m_CachedCurrentParameters
DerivativeType m_CachedDerivative
MeasureType m_CachedValue
SingleValuedCostFunction::Pointer m_CostFunction
bool m_NegateCostFunction
Object::Pointer m_Reporter
ScalesType m_Scales
bool m_ScalesInitialized

Detailed Description

This class is an Adaptor that allows to pass itk::SingleValuedCostFunctions to vnl_optimizers expecting a vnl_cost_function.

This class returns a single valued.

Definition at line 36 of file itkSingleValuedVnlCostFunctionAdaptor.h.


Member Typedef Documentation

Derivatives of the SingleValuedCostFunction

Definition at line 54 of file itkSingleValuedVnlCostFunctionAdaptor.h.

InternalGradientType typedef.

Definition at line 48 of file itkSingleValuedVnlCostFunctionAdaptor.h.

InternalMeasureType typedef.

Definition at line 45 of file itkSingleValuedVnlCostFunctionAdaptor.h.

InternalParametersType typedef.

Definition at line 42 of file itkSingleValuedVnlCostFunctionAdaptor.h.

Type of the SingleValuedCostFunction value

Definition at line 57 of file itkSingleValuedVnlCostFunctionAdaptor.h.

Parameters of the SingleValuedCostFunction

Definition at line 51 of file itkSingleValuedVnlCostFunctionAdaptor.h.

Scales typedef

Definition at line 60 of file itkSingleValuedVnlCostFunctionAdaptor.h.


Constructor & Destructor Documentation

Constructor with size


Member Function Documentation

unsigned long itk::SingleValuedVnlCostFunctionAdaptor::AddObserver ( const EventObject event,
Command  
) const

This AddObserver method allows to simulate that this class derives from an itkObject for the purpose of reporting iteration events. The goal of this method is to allow ITK-vnl optimizer adaptors to get iteration events despite the fact that VNL does not provide callbacks.

Delegate computation of value and gradient to the costFunction.

Convert external derviative measures into internal type

Delegate computation of the value to the CostFunction.

Return the value of the last evaluation to the value of the cost function. Note that this method DOES NOT triggers a computation of the function or the derivatives, it only returns previous values. Therefore the values here are only valid after you invoke the f() or gradf() methods.

Get the CostFunction deriving from SingleValuedCostFunction

Definition at line 70 of file itkSingleValuedVnlCostFunctionAdaptor.h.

virtual void itk::SingleValuedVnlCostFunctionAdaptor::gradf ( const InternalParametersType inparameters,
InternalDerivativeType gradient 
) [virtual]

Delegate computation of the gradient to the costFunction.

Definition at line 106 of file itkSingleValuedVnlCostFunctionAdaptor.h.

Definition at line 105 of file itkSingleValuedVnlCostFunctionAdaptor.h.

void itk::SingleValuedVnlCostFunctionAdaptor::ReportIteration ( const EventObject event) const [protected]

This method is intended to be called by the derived classes in order to notify of an iteration event to any Command/Observers

Set the CostFunction deriving from SingleValuedCostFunction

Definition at line 66 of file itkSingleValuedVnlCostFunctionAdaptor.h.

Set/Get Negate cost function. The purpose of this boolean flag is to make possible to take certain VNL optimizers that are only minimizers, and use them for maximizing functions. When the boolean flag is set to true, the values returned by GetValue in the internal ITK cost function will be multiplied by -1 before returning it in the f() function. Similar operations will be done for the gradf() and compute() methods. When the boolean flag is set to false, then the values returned by the ITK cost function will be passed unchanged to the VNL optimizers.

Set current parameters scaling.


Member Data Documentation

Definition at line 140 of file itkSingleValuedVnlCostFunctionAdaptor.h.

Definition at line 139 of file itkSingleValuedVnlCostFunctionAdaptor.h.

Definition at line 138 of file itkSingleValuedVnlCostFunctionAdaptor.h.

Definition at line 132 of file itkSingleValuedVnlCostFunctionAdaptor.h.

Definition at line 135 of file itkSingleValuedVnlCostFunctionAdaptor.h.

Definition at line 136 of file itkSingleValuedVnlCostFunctionAdaptor.h.

Definition at line 134 of file itkSingleValuedVnlCostFunctionAdaptor.h.

Definition at line 133 of file itkSingleValuedVnlCostFunctionAdaptor.h.


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