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itk::MultipleValuedNonLinearVnlOptimizer Class Reference
[NumericsOptimizers]

This class is a base for the Optimization methods that optimize a single valued function. More...

#include <itkMultipleValuedNonLinearVnlOptimizer.h>

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List of all members.

Public Types

typedef MultipleValuedNonLinearVnlOptimizer Self
typedef MultipleValuedNonLinearOptimizer Superclass
typedef SmartPointer< SelfPointer
typedef SmartPointer< const
Self
ConstPointer
typedef Superclass::ParametersType ParametersType

Public Methods

virtual const char * GetClassName () const
virtual void SetCostFunction (MultipleValuedCostFunction *costFunction)=0
void SetUseCostFunctionGradient (bool)
void UseCostFunctionGradientOn ()
void UseCostFunctionGradientOff ()
bool GetUseCostFunctionGradient () const

Protected Types

typedef MultipleValuedVnlCostFunctionAdaptor CostFunctionAdaptorType

Protected Methods

 MultipleValuedNonLinearVnlOptimizer ()
virtual ~MultipleValuedNonLinearVnlOptimizer ()
void SetCostFunctionAdaptor (CostFunctionAdaptorType *adaptor)
const CostFunctionAdaptorTypeGetCostFunctionAdaptor (void) const

Detailed Description

This class is a base for the Optimization methods that optimize a single valued function.

It is an Adaptor class for optimizers provided by the vnl library

Definition at line 35 of file itkMultipleValuedNonLinearVnlOptimizer.h.


Member Typedef Documentation

typedef SmartPointer<const Self> itk::MultipleValuedNonLinearVnlOptimizer::ConstPointer
 

Reimplemented from itk::MultipleValuedNonLinearOptimizer.

Reimplemented in itk::LevenbergMarquardtOptimizer.

Definition at line 43 of file itkMultipleValuedNonLinearVnlOptimizer.h.

typedef MultipleValuedVnlCostFunctionAdaptor itk::MultipleValuedNonLinearVnlOptimizer::CostFunctionAdaptorType [protected]
 

Reimplemented in itk::LevenbergMarquardtOptimizer.

Definition at line 76 of file itkMultipleValuedNonLinearVnlOptimizer.h.

typedef Superclass::ParametersType itk::MultipleValuedNonLinearVnlOptimizer::ParametersType
 

ParametersType typedef. It defines a position in the optimization search space.

Reimplemented from itk::MultipleValuedNonLinearOptimizer.

Definition at line 52 of file itkMultipleValuedNonLinearVnlOptimizer.h.

typedef SmartPointer<Self> itk::MultipleValuedNonLinearVnlOptimizer::Pointer
 

Reimplemented from itk::MultipleValuedNonLinearOptimizer.

Reimplemented in itk::LevenbergMarquardtOptimizer.

Definition at line 42 of file itkMultipleValuedNonLinearVnlOptimizer.h.

typedef MultipleValuedNonLinearVnlOptimizer itk::MultipleValuedNonLinearVnlOptimizer::Self
 

Standard class typedefs.

Reimplemented from itk::MultipleValuedNonLinearOptimizer.

Reimplemented in itk::LevenbergMarquardtOptimizer.

Definition at line 40 of file itkMultipleValuedNonLinearVnlOptimizer.h.

typedef MultipleValuedNonLinearOptimizer itk::MultipleValuedNonLinearVnlOptimizer::Superclass
 

Reimplemented from itk::MultipleValuedNonLinearOptimizer.

Reimplemented in itk::LevenbergMarquardtOptimizer.

Definition at line 41 of file itkMultipleValuedNonLinearVnlOptimizer.h.


Constructor & Destructor Documentation

itk::MultipleValuedNonLinearVnlOptimizer::MultipleValuedNonLinearVnlOptimizer   [protected]
 

virtual itk::MultipleValuedNonLinearVnlOptimizer::~MultipleValuedNonLinearVnlOptimizer   [protected, virtual]
 


Member Function Documentation

virtual const char* itk::MultipleValuedNonLinearVnlOptimizer::GetClassName   const [virtual]
 

Run-time type information (and related methods).

Reimplemented from itk::MultipleValuedNonLinearOptimizer.

Reimplemented in itk::LevenbergMarquardtOptimizer.

const CostFunctionAdaptorType* itk::MultipleValuedNonLinearVnlOptimizer::GetCostFunctionAdaptor void    const [protected]
 

bool itk::MultipleValuedNonLinearVnlOptimizer::GetUseCostFunctionGradient   const
 

Define if the Cost function should provide a customized Gradient computation or the gradient can be computed internally using a default approach

virtual void itk::MultipleValuedNonLinearVnlOptimizer::SetCostFunction MultipleValuedCostFunction   costFunction [pure virtual]
 

Set the cost Function. This method has to be overloaded by derived classes because the CostFunctionAdaptor requires to know the number of parameters at construction time. This number of parameters is obtained at run-time from the itkCostFunction. As a consequence each derived optimizer should construct its own CostFunctionAdaptor when overloading this method

Implemented in itk::LevenbergMarquardtOptimizer.

void itk::MultipleValuedNonLinearVnlOptimizer::SetCostFunctionAdaptor CostFunctionAdaptorType   adaptor [protected]
 

void itk::MultipleValuedNonLinearVnlOptimizer::SetUseCostFunctionGradient bool   
 

Define if the Cost function should provide a customized Gradient computation or the gradient can be computed internally using a default approach

void itk::MultipleValuedNonLinearVnlOptimizer::UseCostFunctionGradientOff   [inline]
 

Define if the Cost function should provide a customized Gradient computation or the gradient can be computed internally using a default approach

Definition at line 67 of file itkMultipleValuedNonLinearVnlOptimizer.h.

void itk::MultipleValuedNonLinearVnlOptimizer::UseCostFunctionGradientOn   [inline]
 

Define if the Cost function should provide a customized Gradient computation or the gradient can be computed internally using a default approach

Definition at line 66 of file itkMultipleValuedNonLinearVnlOptimizer.h.


The documentation for this class was generated from the following file:
Generated at Fri May 21 01:20:38 2004 for ITK by doxygen 1.2.15 written by Dimitri van Heesch, © 1997-2000