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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkLevenbergMarquardtOptimizer.h,v $
Language: C++
Date: $Date: 2009-06-24 12:02:52 $
Version: $Revision: 1.24 $
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 LevenbergMarquardtOptimizer
* \brief Wrap of the vnl_levenberg_marquardt algorithm
*
* \ingroup Numerics Optimizers
*/
class ITK_EXPORT LevenbergMarquardtOptimizer :
public MultipleValuedNonLinearVnlOptimizer
{
public:
/** Standard "Self" typedef. */
typedef LevenbergMarquardtOptimizer Self;
typedef MultipleValuedNonLinearVnlOptimizer Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Run-time type information (and related methods). */
itkTypeMacro( LevenbergMarquardtOptimizer, MultipleValuedNonLinearVnlOptimizer );
/** InternalParameters typedef. */
typedef vnl_vector<double> InternalParametersType;
/** Internal optimizer type. */
typedef vnl_levenberg_marquardt InternalOptimizerType;
/** Method for getting access to the internal optimizer. */
vnl_levenberg_marquardt * GetOptimizer(void) const;
/** Start optimization with an initial value. */
void StartOptimization( void );
/** Plug in a Cost Function into the optimizer */
virtual void SetCostFunction( MultipleValuedCostFunction * costFunction );
void SetNumberOfIterations(unsigned int iterations);
void SetValueTolerance(double tol);
void SetGradientTolerance(double tol);
void SetEpsilonFunction(double epsilon);
/** Get the current value */
MeasureType GetValue() const;
const std::string GetStopConditionDescription() const;
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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