itkLevenbergMarquardtOptimizer.h

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

  Program:   Insight Segmentation & Registration Toolkit
  Module:    $RCSfile: itkLevenbergMarquardtOptimizer.h,v $
  Language:  C++
  Date:      $Date: 2004/08/20 23:31:55 $
  Version:   $Revision: 1.21 $

  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 __itkLevenbergMarquardtOptimizer_h
#define __itkLevenbergMarquardtOptimizer_h

#include "itkMultipleValuedNonLinearVnlOptimizer.h"
#include "vnl/algo/vnl_levenberg_marquardt.h"

namespace itk
{
  
class ITK_EXPORT LevenbergMarquardtOptimizer : 
    public MultipleValuedNonLinearVnlOptimizer
{
public:
  typedef LevenbergMarquardtOptimizer           Self;
  typedef MultipleValuedNonLinearVnlOptimizer   Superclass;
  typedef SmartPointer<Self>                    Pointer;
  typedef SmartPointer<const Self>              ConstPointer;

  itkNewMacro(Self);

  itkTypeMacro( LevenbergMarquardtOptimizer, MultipleValuedNonLinearVnlOptimizer );

  typedef   vnl_vector<double>     InternalParametersType;

  typedef   vnl_levenberg_marquardt   InternalOptimizerType;

  vnl_levenberg_marquardt * GetOptimizer(void);

  void StartOptimization( void );

  virtual void SetCostFunction( MultipleValuedCostFunction * costFunction );

  void SetNumberOfIterations(unsigned int iterations);
  void SetValueTolerance(double tol);
  void SetGradientTolerance(double tol);
  void SetEpsilonFunction(double epsilon);

  MeasureType GetValue();

protected:
  LevenbergMarquardtOptimizer();
  virtual ~LevenbergMarquardtOptimizer();

  typedef Superclass::CostFunctionAdaptorType   CostFunctionAdaptorType;

private:
  LevenbergMarquardtOptimizer(const Self&); //purposely not implemented
  void operator=(const Self&); //purposely not implemented
  
  bool                          m_OptimizerInitialized;
  InternalOptimizerType       * m_VnlOptimizer;
  unsigned int                  m_NumberOfIterations;
  double                        m_ValueTolerance;
  double                        m_GradientTolerance;
  double                        m_EpsilonFunction;

};

} // end namespace itk


#endif

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