itkGradientDescentOptimizerv4.h

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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 __itkGradientDescentOptimizerv4_h
#define __itkGradientDescentOptimizerv4_h

#include "itkGradientDescentOptimizerBasev4.h"

namespace itk
{
template<typename TInternalComputationValueType>
class GradientDescentOptimizerv4Template
: public GradientDescentOptimizerBasev4Template<TInternalComputationValueType>
{
public:
  typedef GradientDescentOptimizerv4Template                                    Self;
  typedef GradientDescentOptimizerBasev4Template<TInternalComputationValueType> Superclass;
  typedef SmartPointer< Self >                                                  Pointer;
  typedef SmartPointer< const Self >                                            ConstPointer;

  itkTypeMacro(GradientDescentOptimizerv4Template, Superclass);

  itkNewMacro(Self);


  typedef TInternalComputationValueType                     InternalComputationValueType;

  typedef typename Superclass::DerivativeType               DerivativeType;

  typedef typename Superclass::MeasureType                  MeasureType;
  typedef typename Superclass::IndexRangeType               IndexRangeType;
  typedef typename Superclass::ScalesType                   ScalesType;
  typedef typename Superclass::ParametersType               ParametersType;
  typedef typename Superclass::StopConditionType            StopConditionType;

  itkSetMacro(LearningRate, TInternalComputationValueType);

  itkGetConstReferenceMacro(LearningRate, TInternalComputationValueType);

  itkSetMacro(MaximumStepSizeInPhysicalUnits, TInternalComputationValueType);

  itkGetConstReferenceMacro(MaximumStepSizeInPhysicalUnits, TInternalComputationValueType);

  itkSetMacro(DoEstimateLearningRateAtEachIteration, bool);
  itkGetConstReferenceMacro(DoEstimateLearningRateAtEachIteration, bool);
  itkBooleanMacro(DoEstimateLearningRateAtEachIteration);

  itkSetMacro(DoEstimateLearningRateOnce, bool);
  itkGetConstReferenceMacro(DoEstimateLearningRateOnce, bool);
  itkBooleanMacro(DoEstimateLearningRateOnce);

  itkSetMacro(MinimumConvergenceValue, TInternalComputationValueType);

  itkSetMacro(ConvergenceWindowSize, SizeValueType);

  itkGetConstReferenceMacro( ConvergenceValue, TInternalComputationValueType);

  itkSetMacro(ReturnBestParametersAndValue, bool);
  itkGetConstReferenceMacro(ReturnBestParametersAndValue, bool);
  itkBooleanMacro(ReturnBestParametersAndValue);

  virtual void StartOptimization( bool doOnlyInitialization = false ) ITK_OVERRIDE;

  virtual void StopOptimization(void) ITK_OVERRIDE;

  virtual void ResumeOptimization() ITK_OVERRIDE;

  virtual void EstimateLearningRate();

protected:

  virtual void AdvanceOneStep(void);

  virtual void ModifyGradientByScalesOverSubRange( const IndexRangeType& subrange ) ITK_OVERRIDE;
  virtual void ModifyGradientByLearningRateOverSubRange( const IndexRangeType& subrange ) ITK_OVERRIDE;

  TInternalComputationValueType  m_LearningRate;

  GradientDescentOptimizerv4Template();

  virtual ~GradientDescentOptimizerv4Template();

  virtual void PrintSelf( std::ostream & os, Indent indent ) const;

  TInternalComputationValueType m_MinimumConvergenceValue;

  /* WindowConvergenceMonitoringFunction always returns output convergence value in 'TInternalComputationValueType' precision */
  TInternalComputationValueType m_ConvergenceValue;

  MeasureType                  m_CurrentBestValue;
  ParametersType               m_BestParameters;

  bool m_ReturnBestParametersAndValue;

  DerivativeType m_PreviousGradient;

private:

  GradientDescentOptimizerv4Template( const Self & ); //purposely not implemented
  void operator=( const Self& ); //purposely not implemented
};

typedef GradientDescentOptimizerv4Template<double> GradientDescentOptimizerv4;

} // end namespace itk

#ifndef ITK_MANUAL_INSTANTIATION
#include "itkGradientDescentOptimizerv4.hxx"
#endif

#endif