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/*=========================================================================
 *
 *  Copyright Insight Software Consortium
 *
 *  Licensed under the Apache License, Version 2.0 (the "License");
 *  you may not use this file except in compliance with the License.
 *  You may obtain a copy of the License at
 *
 *         http://www.apache.org/licenses/LICENSE-2.0.txt
 *
 *  Unless required by applicable law or agreed to in writing, software
 *  distributed under the License is distributed on an "AS IS" BASIS,
 *  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 *  See the License for the specific language governing permissions and
 *  limitations under the License.
 *
 *=========================================================================*/
#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
 * \ingroup ITKOptimizers
 */
class 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