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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 itkConjugateGradientLineSearchOptimizerv4_h
#define itkConjugateGradientLineSearchOptimizerv4_h
#include "itkGradientDescentLineSearchOptimizerv4.h"
#include "itkOptimizerParameterScalesEstimator.h"
#include "itkWindowConvergenceMonitoringFunction.h"
namespace itk
{
/** \class ConjugateGradientLineSearchOptimizerv4Template
* \brief Conjugate gradient descent optimizer with a golden section line search for nonlinear optimization.
*
* ConjugateGradientLineSearchOptimizer implements a conjugate gradient descent optimizer
* that is followed by a line search to find the best value for the learning rate.
* At each iteration the current position is updated according to
*
* \f[
* p_{n+1} = p_n
* + \mbox{learningRateByGoldenSectionLineSearch}
* \, d
* \f]
*
* where d is defined as the Polak-Ribiere conjugate gradient.
*
* Options are identical to the superclass's.
*
* \ingroup ITKOptimizersv4
*/
template<typename TInternalComputationValueType>
class ITK_TEMPLATE_EXPORT ConjugateGradientLineSearchOptimizerv4Template
: public GradientDescentLineSearchOptimizerv4Template<TInternalComputationValueType>
{
public:
/** Standard class typedefs. */
typedef ConjugateGradientLineSearchOptimizerv4Template Self;
typedef GradientDescentLineSearchOptimizerv4Template<TInternalComputationValueType> Superclass;
typedef SmartPointer< Self > Pointer;
typedef SmartPointer< const Self > ConstPointer;
/** Run-time type information (and related methods). */
itkTypeMacro(ConjugateGradientLineSearchOptimizerv4Template, Superclass);
/** New macro for creation of through a Smart Pointer */
itkNewMacro(Self);
/** It should be possible to derive the internal computation type from the class object. */
typedef TInternalComputationValueType InternalComputationValueType;
/** Derivative type */
typedef typename Superclass::DerivativeType DerivativeType;
/** Metric type over which this class is templated */
typedef typename Superclass::MeasureType MeasureType;
/** Type for the convergence checker */
typedef itk::Function::WindowConvergenceMonitoringFunction<TInternalComputationValueType> ConvergenceMonitoringType;
virtual void StartOptimization( bool doOnlyInitialization = false ) ITK_OVERRIDE;
protected:
/** Advance one Step following the gradient direction.
* Includes transform update. */
virtual void AdvanceOneStep(void) ITK_OVERRIDE;
/** Default constructor */
ConjugateGradientLineSearchOptimizerv4Template();
/** Destructor */
virtual ~ConjugateGradientLineSearchOptimizerv4Template() ITK_OVERRIDE;
virtual void PrintSelf( std::ostream & os, Indent indent ) const ITK_OVERRIDE;
private:
DerivativeType m_LastGradient;
DerivativeType m_ConjugateGradient;
ITK_DISALLOW_COPY_AND_ASSIGN(ConjugateGradientLineSearchOptimizerv4Template);
};
/** This helps to meet backward compatibility */
typedef ConjugateGradientLineSearchOptimizerv4Template<double> ConjugateGradientLineSearchOptimizerv4;
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkConjugateGradientLineSearchOptimizerv4.hxx"
#endif
#endif
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