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
 *
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 *  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"
#include "itkOptimizerParameterScalesEstimator.h"
#include "itkWindowConvergenceMonitoringFunction.h"

namespace itk
{
class ITK_EXPORT GradientDescentOptimizerv4
  : public GradientDescentOptimizerBasev4
{
public:
  typedef GradientDescentOptimizerv4     Self;
  typedef GradientDescentOptimizerBasev4 Superclass;
  typedef SmartPointer< Self >           Pointer;
  typedef SmartPointer< const Self >     ConstPointer;

  itkTypeMacro(GradientDescentOptimizerv4, GradientDescentOptimizerBasev4);

  itkNewMacro(Self);

  typedef Superclass::DerivativeType      DerivativeType;

  typedef Superclass::MeasureType                  MeasureType;
  typedef Superclass::InternalComputationValueType InternalComputationValueType;

  typedef itk::Function::WindowConvergenceMonitoringFunction<double>
    ConvergenceMonitoringType;

  itkSetMacro(LearningRate, InternalComputationValueType);

  itkGetConstReferenceMacro(LearningRate, InternalComputationValueType);

  itkSetMacro(MaximumStepSizeInPhysicalUnits, InternalComputationValueType);

  itkGetConstReferenceMacro(MaximumStepSizeInPhysicalUnits, InternalComputationValueType);

  itkSetObjectMacro(ScalesEstimator, OptimizerParameterScalesEstimator);

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

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

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

  itkSetMacro(MinimumConvergenceValue, InternalComputationValueType);

  itkSetMacro(ConvergenceWindowSize, SizeValueType);

  itkGetConstReferenceMacro( ConvergenceValue, InternalComputationValueType );

  virtual void StartOptimization();

  virtual void ResumeOptimization();

protected:

  virtual void AdvanceOneStep(void);

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

  InternalComputationValueType  m_LearningRate;

  InternalComputationValueType  m_MaximumStepSizeInPhysicalUnits;

  virtual void EstimateLearningRate();

  GradientDescentOptimizerv4();

  virtual ~GradientDescentOptimizerv4();

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

  OptimizerParameterScalesEstimator::Pointer m_ScalesEstimator;

  InternalComputationValueType m_MinimumConvergenceValue;

  SizeValueType m_ConvergenceWindowSize;

  InternalComputationValueType m_ConvergenceValue;

  ConvergenceMonitoringType::Pointer m_ConvergenceMonitoring;

private:
  bool m_DoEstimateScales;

  bool m_DoEstimateLearningRateAtEachIteration;

  bool m_DoEstimateLearningRateOnce;

  GradientDescentOptimizerv4( const Self & ); //purposely not implemented
  void operator=( const Self& ); //purposely not implemented
};

} // end namespace itk

#endif