itkGradientDescentOptimizer2.h

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/*=========================================================================
 *
 *  Copyright UMC Utrecht and contributors
 *
 *  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 itkGradientDescentOptimizer2_h
#define itkGradientDescentOptimizer2_h
 
#include "itkScaledSingleValuedNonLinearOptimizer.h"
 
 
namespace itk
{
 
class GradientDescentOptimizer2 : public ScaledSingleValuedNonLinearOptimizer
{
public:
  ITK_DISALLOW_COPY_AND_MOVE(GradientDescentOptimizer2);
 
  using Self = GradientDescentOptimizer2;
  using Superclass = ScaledSingleValuedNonLinearOptimizer;
  using Pointer = SmartPointer<Self>;
  using ConstPointer = SmartPointer<const Self>;
 
  itkNewMacro(Self);
 
  itkTypeMacro(GradientDescentOptimizer2, ScaledSingleValuedNonLinearOptimizer);
 
  using Superclass::MeasureType;
  using Superclass::ParametersType;
  using Superclass::DerivativeType;
  using Superclass::CostFunctionType;
  using Superclass::ScalesType;
  using Superclass::ScaledCostFunctionType;
  using Superclass::ScaledCostFunctionPointer;
 
  enum StopConditionType
  {
    MaximumNumberOfIterations,
    MetricError,
    MinimumStepSize
  };
 
  virtual void
  AdvanceOneStep();
 
  void
  StartOptimization() override;
 
  virtual void
  ResumeOptimization();
 
  virtual void
  MetricErrorResponse(ExceptionObject & err);
 
  virtual void
  StopOptimization();
 
  itkSetMacro(LearningRate, double);
 
  itkGetConstReferenceMacro(LearningRate, double);
 
  itkSetMacro(NumberOfIterations, unsigned long);
 
  itkGetConstReferenceMacro(NumberOfIterations, unsigned long);
 
  itkGetConstMacro(CurrentIteration, unsigned int);
 
  itkGetConstReferenceMacro(Value, double);
 
  itkGetConstReferenceMacro(StopCondition, StopConditionType);
 
  itkGetConstReferenceMacro(Gradient, DerivativeType);
 
  itkGetConstReferenceMacro(SearchDirection, DerivativeType);
 
protected:
  GradientDescentOptimizer2();
  ~GradientDescentOptimizer2() override = default;
  void
  PrintSelf(std::ostream & os, Indent indent) const override;
 
  // made protected so subclass can access
  DerivativeType    m_Gradient{};
  DerivativeType    m_SearchDirection{};
  StopConditionType m_StopCondition{ MaximumNumberOfIterations };
 
private:
  double        m_Value{ 0.0 };
  double        m_LearningRate{ 1.0 };
  bool          m_Stop{ false };
  unsigned long m_NumberOfIterations{ 100 };
  unsigned long m_CurrentIteration{ 0 };
};
 
} // end namespace itk
 
#endif