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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkMultipleValuedNonLinearVnlOptimizer.h,v $
Language: C++
Date: $Date: 2007-03-22 21:39:37 $
Version: $Revision: 1.25 $
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#ifndef __itkMultipleValuedNonLinearVnlOptimizer_h
#define __itkMultipleValuedNonLinearVnlOptimizer_h
#include "itkMultipleValuedNonLinearOptimizer.h"
#include "itkMultipleValuedVnlCostFunctionAdaptor.h"
#include "itkCommand.h"
namespace itk
{
/** \class MultipleValuedNonLinearVnlOptimizer
* \brief This class is a base for the Optimization methods that
* optimize a multi-valued function.
*
* It is an Adaptor class for optimizers provided by the vnl library
*
* \ingroup Numerics Optimizers
*/
class ITK_EXPORT MultipleValuedNonLinearVnlOptimizer :
public MultipleValuedNonLinearOptimizer
{
public:
/** Standard class typedefs. */
typedef MultipleValuedNonLinearVnlOptimizer Self;
typedef MultipleValuedNonLinearOptimizer Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Run-time type information (and related methods). */
itkTypeMacro( MultipleValuedNonLinearVnlOptimizer,
MultipleValueNonLinearOptimizer );
/** ParametersType typedef.
* It defines a position in the optimization search space. */
typedef Superclass::ParametersType ParametersType;
/** 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 */
virtual void SetCostFunction( MultipleValuedCostFunction * costFunction ) = 0;
/** Define if the Cost function should provide a customized
Gradient computation or the gradient can be computed internally
using a default approach */
void SetUseCostFunctionGradient(bool);
void UseCostFunctionGradientOn()
{
this->SetUseCostFunctionGradient( true );
}
void UseCostFunctionGradientOff()
{
this->SetUseCostFunctionGradient( false );
}
bool GetUseCostFunctionGradient() const;
/** 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(). */
itkGetConstReferenceMacro(CachedValue, MeasureType);
itkGetConstReferenceMacro(CachedDerivative, DerivativeType);
itkGetConstReferenceMacro(CachedCurrentPosition, ParametersType);
protected:
MultipleValuedNonLinearVnlOptimizer();
virtual ~MultipleValuedNonLinearVnlOptimizer();
void PrintSelf(std::ostream& os, Indent indent) const;
typedef MultipleValuedVnlCostFunctionAdaptor CostFunctionAdaptorType;
void SetCostFunctionAdaptor( CostFunctionAdaptorType * adaptor );
const CostFunctionAdaptorType * GetCostFunctionAdaptor( void ) const;
CostFunctionAdaptorType * GetCostFunctionAdaptor( void );
/** The purpose of this method is to get around the lack of const
* correctness in vnl cost_functions and optimizers */
CostFunctionAdaptorType * GetNonConstCostFunctionAdaptor( void ) const;
/** 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 */
typedef ReceptorMemberCommand< Self > CommandType;
private:
MultipleValuedNonLinearVnlOptimizer(const Self&); //purposely not implemented
void operator=(const Self&); //purposely not implemented
/** Callback function for the Command Observer */
void IterationReport( const EventObject & event );
CostFunctionAdaptorType * m_CostFunctionAdaptor;
bool m_UseGradient;
CommandType::Pointer m_Command;
mutable ParametersType m_CachedCurrentPosition;
mutable MeasureType m_CachedValue;
mutable DerivativeType m_CachedDerivative;
};
} // end namespace itk
#endif
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