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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkSingleValuedNonLinearVnlOptimizer.h,v $
Language: C++
Date: $Date: 2007-03-22 21:39:38 $
Version: $Revision: 1.26 $
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 __itkSingleValuedNonLinearVnlOptimizer_h
#define __itkSingleValuedNonLinearVnlOptimizer_h
#include "itkSingleValuedNonLinearOptimizer.h"
#include "itkSingleValuedVnlCostFunctionAdaptor.h"
#include "itkCommand.h"
namespace itk
{
/** \class SingleValuedNonLinearVnlOptimizer
* \brief 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
*
* \ingroup Numerics Optimizers
*/
class ITK_EXPORT SingleValuedNonLinearVnlOptimizer :
public SingleValuedNonLinearOptimizer
{
public:
/** Standard class typedefs. */
typedef SingleValuedNonLinearVnlOptimizer Self;
typedef SingleValuedNonLinearOptimizer Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Run-time type information (and related methods). */
itkTypeMacro( SingleValuedNonLinearVnlOptimizer,
SingleValueNonLinearOptimizer );
/** 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;
/** 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( SingleValuedCostFunction * costFunction ) = 0;
/** 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. */
itkGetConstReferenceMacro( Maximize, bool );
itkSetMacro( Maximize, bool );
itkBooleanMacro( Maximize );
bool GetMinimize( ) const
{ return !m_Maximize; }
void SetMinimize(bool v)
{ this->SetMaximize(!v); }
void MinimizeOn()
{ this->MaximizeOff(); }
void MinimizeOff()
{ this->MaximizeOn(); }
/** 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:
SingleValuedNonLinearVnlOptimizer();
virtual ~SingleValuedNonLinearVnlOptimizer();
typedef SingleValuedVnlCostFunctionAdaptor 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;
/** Print out internal state */
void PrintSelf(std::ostream& os, Indent indent) const;
private:
/** Callback function for the Command Observer */
void IterationReport( const EventObject & event );
SingleValuedNonLinearVnlOptimizer(const Self&); //purposely not implemented
void operator=(const Self&); //purposely not implemented
CostFunctionAdaptorType * m_CostFunctionAdaptor;
bool m_Maximize;
CommandType::Pointer m_Command;
mutable ParametersType m_CachedCurrentPosition;
mutable MeasureType m_CachedValue;
mutable DerivativeType m_CachedDerivative;
};
} // end namespace itk
#endif
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