/*========================================================================= * * 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 class ITK_TEMPLATE_EXPORT ConjugateGradientLineSearchOptimizerv4Template : public GradientDescentLineSearchOptimizerv4Template { public: /** Standard class typedefs. */ typedef ConjugateGradientLineSearchOptimizerv4Template Self; typedef GradientDescentLineSearchOptimizerv4Template 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 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 ConjugateGradientLineSearchOptimizerv4; } // end namespace itk #ifndef ITK_MANUAL_INSTANTIATION #include "itkConjugateGradientLineSearchOptimizerv4.hxx" #endif #endif