itkGradientDescentLineSearchOptimizerv4.h

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/*=========================================================================
 *
 *  Copyright NumFOCUS
 *
 *  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
 *
 *         https://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 itkGradientDescentLineSearchOptimizerv4_h
#define itkGradientDescentLineSearchOptimizerv4_h
 
#include "itkGradientDescentOptimizerv4.h"
#include "itkOptimizerParameterScalesEstimator.h"
#include "itkWindowConvergenceMonitoringFunction.h"
 
namespace itk
{
template <typename TInternalComputationValueType>
class ITK_TEMPLATE_EXPORT GradientDescentLineSearchOptimizerv4Template
  : public GradientDescentOptimizerv4Template<TInternalComputationValueType>
{
public:
  ITK_DISALLOW_COPY_AND_MOVE(GradientDescentLineSearchOptimizerv4Template);
  using Self = GradientDescentLineSearchOptimizerv4Template;
  using Superclass = GradientDescentOptimizerv4Template<TInternalComputationValueType>;
  using Pointer = SmartPointer<Self>;
  using ConstPointer = SmartPointer<const Self>;
 
  itkOverrideGetNameOfClassMacro(GradientDescentLineSearchOptimizerv4Template);
 
  itkNewMacro(Self);
 
  using InternalComputationValueType = TInternalComputationValueType;
 
  using typename Superclass::DerivativeType;
 
  using typename Superclass::MeasureType;
  using typename Superclass::ParametersType;
 
  using ConvergenceMonitoringType = itk::Function::WindowConvergenceMonitoringFunction<TInternalComputationValueType>;
 
  itkSetMacro(Epsilon, TInternalComputationValueType);
  itkGetMacro(Epsilon, TInternalComputationValueType);
  itkSetMacro(LowerLimit, TInternalComputationValueType);
  itkGetMacro(LowerLimit, TInternalComputationValueType);
  itkSetMacro(UpperLimit, TInternalComputationValueType);
  itkGetMacro(UpperLimit, TInternalComputationValueType);
  itkSetMacro(MaximumLineSearchIterations, unsigned int);
  itkGetMacro(MaximumLineSearchIterations, unsigned int);
protected:
  void
  AdvanceOneStep() override;
 
  GradientDescentLineSearchOptimizerv4Template();
 
  ~GradientDescentLineSearchOptimizerv4Template() override = default;
 
  void
  PrintSelf(std::ostream & os, Indent indent) const override;
 
  TInternalComputationValueType
  GoldenSectionSearch(TInternalComputationValueType a,
                      TInternalComputationValueType b,
                      TInternalComputationValueType c,
                      TInternalComputationValueType metricb = NumericTraits<TInternalComputationValueType>::max());
  TInternalComputationValueType m_LowerLimit{};
  TInternalComputationValueType m_UpperLimit{};
  TInternalComputationValueType m_Phi{};
  TInternalComputationValueType m_Resphi{};
  TInternalComputationValueType m_Epsilon{};
 
  unsigned int m_MaximumLineSearchIterations{};
 
  unsigned int m_LineSearchIterations{};
};
 
using GradientDescentLineSearchOptimizerv4 = GradientDescentLineSearchOptimizerv4Template<double>;
 
} // end namespace itk
 
#ifndef ITK_MANUAL_INSTANTIATION
#  include "itkGradientDescentLineSearchOptimizerv4.hxx"
#endif
 
#endif