itkGradientDescentOptimizer.h

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/*=========================================================================

  Program:   Insight Segmentation & Registration Toolkit
  Module:    $RCSfile: itkGradientDescentOptimizer.h,v $
  Language:  C++
  Date:      $Date: 2002/03/07 00:20:10 $
  Version:   $Revision: 1.24 $

  Copyright (c) 2002 Insight 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 __itkGradientDescentOptimizer_h
#define __itkGradientDescentOptimizer_h

#include "itkSingleValuedNonLinearOptimizer.h"

namespace itk
{
  
class ITK_EXPORT GradientDescentOptimizer : 
        public SingleValuedNonLinearOptimizer
{
public:
  typedef GradientDescentOptimizer          Self;
  typedef SingleValuedNonLinearOptimizer    Superclass;
  typedef SmartPointer<Self>                Pointer;
  typedef SmartPointer<const Self>          ConstPointer;
  
  itkNewMacro(Self);

  itkTypeMacro( GradientDescentOptimizer, SingleValuedNonLinearOptimizer );


  typedef enum {
    MaximumNumberOfIterations,
    MetricError
  } StopConditionType;

  itkGetMacro( 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(); }
  
  virtual void AdvanceOneStep( void );

  void    StartOptimization( void );

  void    ResumeOptimization( void );

  void    StopOptimization( void );

  itkSetMacro( LearningRate, double );

  itkGetConstMacro( LearningRate, double);

  itkSetMacro( NumberOfIterations, unsigned long );

  itkGetConstMacro( NumberOfIterations, unsigned long );

  itkGetConstMacro( CurrentIteration, unsigned int );

  itkGetConstMacro( Value, double );

  itkGetConstMacro( StopCondition, StopConditionType );


protected:
  GradientDescentOptimizer();
  virtual ~GradientDescentOptimizer() {};
  void PrintSelf(std::ostream& os, Indent indent) const;


  // made protected so subclass can access
  DerivativeType                m_Gradient; 
  bool                          m_Maximize;
  double                        m_LearningRate;

private:
  GradientDescentOptimizer(const Self&); //purposely not implemented
  void operator=(const Self&); //purposely not implemented
  
  bool                          m_Stop;
  double                        m_Value;
  StopConditionType             m_StopCondition;
  unsigned long                 m_NumberOfIterations;
  unsigned long                 m_CurrentIteration;



};

} // end namespace itk


#endif

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