itkStandardStochasticVarianceReducedGradientDescentOptimizer.h

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 *  Copyright UMC Utrecht and contributors
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 *  Licensed under the Apache License, Version 2.0 (the "License");
 *  you may not use this file except in compliance with the License.
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#ifndef itkStandardStochasticVarianceReducedGradientOptimizer_h
#define itkStandardStochasticVarianceReducedGradientOptimizer_h
 
#include "itkStochasticVarianceReducedGradientDescentOptimizer.h"
 
namespace itk
{
class StandardStochasticVarianceReducedGradientOptimizer : public StochasticVarianceReducedGradientDescentOptimizer
{
public:
  ITK_DISALLOW_COPY_AND_MOVE(StandardStochasticVarianceReducedGradientOptimizer);
 
  using Self = StandardStochasticVarianceReducedGradientOptimizer;
  using Superclass = StochasticVarianceReducedGradientDescentOptimizer;
 
  using Pointer = SmartPointer<Self>;
  using ConstPointer = SmartPointer<const Self>;
 
  itkNewMacro(Self);
 
  itkTypeMacro(StandardStochasticVarianceReducedGradientOptimizer, StochasticVarianceReducedGradientDescentOptimizer);
 
  using Superclass::MeasureType;
  using Superclass::ParametersType;
  using Superclass::DerivativeType;
  using Superclass::CostFunctionType;
  using Superclass::ScalesType;
  using Superclass::ScaledCostFunctionType;
  using Superclass::ScaledCostFunctionPointer;
  using Superclass::StopConditionType;
 
  itkSetMacro(Param_a, double);
  itkGetConstMacro(Param_a, double);
 
  itkSetMacro(Param_beta, double);
  itkGetConstMacro(Param_beta, double);
 
  itkSetMacro(Param_A, double);
  itkGetConstMacro(Param_A, double);
 
  itkSetMacro(Param_alpha, double);
  itkGetConstMacro(Param_alpha, double);
 
  void
  AdvanceOneStep() override;
 
  void
  StartOptimization() override;
 
  itkSetMacro(InitialTime, double);
  itkGetConstMacro(InitialTime, double);
 
  itkGetConstMacro(CurrentTime, double);
 
  virtual void
  ResetCurrentTimeToInitialTime()
  {
    this->m_CurrentTime = this->m_InitialTime;
  }
 
protected:
  StandardStochasticVarianceReducedGradientOptimizer();
  ~StandardStochasticVarianceReducedGradientOptimizer() override = default;
 
  virtual double
  Compute_a(double k) const;
 
  virtual double
  Compute_beta(double k) const;
 
  virtual void
  UpdateCurrentTime();
 
  double m_CurrentTime{ 0.0 };
 
  bool m_UseConstantStep{};
 
private:
  double m_Param_a{ 1.0 };
  double m_Param_beta{};
  double m_Param_A{ 1.0 };
  double m_Param_alpha{ 0.602 };
 
  double m_InitialTime{ 0.0 };
 
}; // end class StandardStochasticVarianceReducedGradientOptimizer
 
 
} // end namespace itk
 
 
#endif // end #ifndef itkStandardStochasticVarianceReducedGradientOptimizer_h