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/*
* Copyright (C) 2005-2020 Centre National d'Etudes Spatiales (CNES)
*
* This file is part of Orfeo Toolbox
*
* https://www.orfeo-toolbox.org/
*
* 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
*
* 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 otbExhaustiveExponentialOptimizer_h
#define otbExhaustiveExponentialOptimizer_h
#include "itkSingleValuedNonLinearOptimizer.h"
namespace otb
{
/** \class ExhaustiveExponentialOptimizer
* \brief This optimizer performs an exhaustive search on an exponential scale.
*
* This optimizer is equivalent to an exhaustive search in a discrete grid
* defined over the parametric space. The grid is centered on the initial
* position. The subdivisions of the grid along each one of the dimensions
* of the parametric space is defined by a exponential progression with
* scale factor m_ScaleFactor, with the exponant following an
* arithmetic progression from 0 to m_NumberOfSteps * m_StepLength in
* both positive and negative direction.
*
* This optimizer can be use to perform a preliminary coarse search on
* the search space.
*
* \ingroup Numerics Optimizers
*
* \ingroup OTBSupervised
*/
class ITK_ABI_EXPORT ExhaustiveExponentialOptimizer : public itk::SingleValuedNonLinearOptimizer
{
public:
/** Standard "Self" typedef. */
typedef ExhaustiveExponentialOptimizer Self;
typedef itk::SingleValuedNonLinearOptimizer Superclass;
typedef itk::SmartPointer<Self> Pointer;
typedef itk::SmartPointer<const Self> ConstPointer;
typedef itk::Array<unsigned long> StepsType;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Run-time type information (and related methods). */
itkTypeMacro(ExhaustiveExponentialOptimizer, itk::SingleValuedNonLinearOptimizer);
void StartOptimization(void) override;
void StartWalking(void);
void ResumeWalking(void);
void StopWalking(void);
itkSetMacro(GeometricProgression, double);
itkSetMacro(NumberOfSteps, StepsType);
itkSetMacro(StepLength, double);
itkGetConstReferenceMacro(GeometricProgression, double);
itkGetConstReferenceMacro(NumberOfSteps, StepsType);
itkGetConstReferenceMacro(StepLength, double);
itkGetConstReferenceMacro(CurrentValue, MeasureType);
itkGetConstReferenceMacro(MaximumMetricValue, MeasureType);
itkGetConstReferenceMacro(MinimumMetricValue, MeasureType);
itkGetConstReferenceMacro(MinimumMetricValuePosition, ParametersType);
itkGetConstReferenceMacro(MaximumMetricValuePosition, ParametersType);
itkGetConstReferenceMacro(CurrentIndex, ParametersType);
itkGetConstReferenceMacro(MaximumNumberOfIterations, unsigned long);
protected:
ExhaustiveExponentialOptimizer();
~ExhaustiveExponentialOptimizer() override
{
}
void PrintSelf(std::ostream& os, itk::Indent indent) const override;
/** Advance to the next grid position. */
void AdvanceOneStep(void);
void IncrementIndex(ParametersType& param);
protected:
MeasureType m_CurrentValue;
StepsType m_NumberOfSteps;
double m_StepLength;
unsigned long m_CurrentIteration;
bool m_Stop;
unsigned int m_CurrentParameter;
double m_GeometricProgression;
ParametersType m_CurrentIndex;
unsigned long m_MaximumNumberOfIterations;
MeasureType m_MaximumMetricValue;
MeasureType m_MinimumMetricValue;
ParametersType m_MinimumMetricValuePosition;
ParametersType m_MaximumMetricValuePosition;
private:
ExhaustiveExponentialOptimizer(const Self&) = delete;
void operator=(const Self&) = delete;
};
} // end namespace otb
#endif
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