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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
*
* 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 itkFRPROptimizer_h
#define itkFRPROptimizer_h
#include "itkPowellOptimizer.h"
#include "ITKOptimizersExport.h"
namespace itk
{
/** \class FRPROptimizer
* \brief Implements Fletch-Reeves & Polak-Ribiere optimization using dBrent
* line search.
*
* This optimizer needs a cost function.
* This optimizer needs to be able to compute partial derivatives of the
* cost function with respect to each parameter.
*
* The SetStepLength determines the initial distance to step in a line
* direction when bounding the minimum (using bracketing triple spaced
* using a derivative-based search strategy).
*
* The StepTolerance terminates optimization when the parameter values are
* known to be within this (scaled) distance of the local extreme.
*
* The ValueTolerance terminates optimization when the cost function values at
* the current parameters and at the local extreme are likely (within a second
* order approximation) to be within this is tolerance.
*
* \ingroup Numerics Optimizers
*
* \ingroup ITKOptimizers
*/
class ITKOptimizers_EXPORT FRPROptimizer:
public PowellOptimizer
{
public:
/** Standard "Self" typedef. */
typedef FRPROptimizer Self;
typedef PowellOptimizer Superclass;
typedef SmartPointer< Self > Pointer;
typedef SmartPointer< const Self > ConstPointer;
typedef SingleValuedNonLinearOptimizer::ParametersType ParametersType;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Run-time type information (and related methods). */
itkTypeMacro(FRPROptimizer, PowellOptimizer);
/** Type of the Cost Function */
typedef SingleValuedCostFunction CostFunctionType;
typedef CostFunctionType::Pointer CostFunctionPointer;
/** Convert gradient to a unit length vector */
itkSetMacro(UseUnitLengthGradient, bool);
itkGetConstMacro(UseUnitLengthGradient, bool);
/** Start optimization. */
virtual void StartOptimization() ITK_OVERRIDE;
/** Set it to the Fletch-Reeves optimizer */
void SetToFletchReeves();
/** Set it to the Fletch-Reeves optimizer */
void SetToPolakRibiere();
protected:
FRPROptimizer();
virtual ~FRPROptimizer() ITK_OVERRIDE;
virtual void PrintSelf(std::ostream & os, Indent indent) const ITK_OVERRIDE;
/** Get the value of the n-dimensional cost function at this scalar step
* distance along the current line direction from the current line origin.
* Line origin and distances are set via SetLine */
virtual void GetValueAndDerivative(ParametersType & p, double *val,
ParametersType *xi);
virtual void LineOptimize(ParametersType *p, ParametersType & xi,
double *val);
virtual void LineOptimize(ParametersType *p, ParametersType & xi,
double *val,
ParametersType & tempCoord);
private:
FRPROptimizer(const FRPROptimizer &); // not implemented
typedef enum {
FletchReeves,
PolakRibiere
} OptimizationType;
OptimizationType m_OptimizationType;
bool m_UseUnitLengthGradient;
}; // end of class
} // end of namespace itk
#endif
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