itkQuasiNewtonOptimizerv4.h

Go to the documentation of this file.

/*=========================================================================
 *
 *  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 itkQuasiNewtonOptimizerv4_h
#define itkQuasiNewtonOptimizerv4_h

#include "itkArray2D.h"
#include "itkGradientDescentOptimizerv4.h"

#include "vnl/algo/vnl_matrix_inverse.h"
#include "vnl/algo/vnl_determinant.h"

namespace itk
{
template<typename TInternalComputationValueType>
class QuasiNewtonOptimizerv4Template :
  public         GradientDescentOptimizerv4Template<TInternalComputationValueType>
{
public:
  typedef QuasiNewtonOptimizerv4Template                                 Self;
  typedef GradientDescentOptimizerv4Template<TInternalComputationValueType>    Superclass;
  typedef SmartPointer< Self >                                           Pointer;
  typedef SmartPointer< const Self >                                     ConstPointer;

  itkNewMacro(Self);

  itkTypeMacro(QuasiNewtonOptimizerv4Template, Superclass);

  typedef TInternalComputationValueType          InternalComputationValueType;

  typedef typename Superclass::ParametersType    ParametersType;
  typedef typename Superclass::MeasureType       MeasureType;
  typedef typename Superclass::DerivativeType    DerivativeType;
  typedef typename Superclass::IndexRangeType    IndexRangeType;
  typedef typename Superclass::StopConditionType StopConditionType;

  typedef itk::Array2D<TInternalComputationValueType> HessianType;

  typedef std::vector<HessianType> HessianArrayType;

  virtual void StartOptimization( bool doOnlyInitialization = false ) ITK_OVERRIDE;

  itkSetMacro(MaximumIterationsWithoutProgress, SizeValueType);

  itkSetMacro(MaximumNewtonStepSizeInPhysicalUnits, TInternalComputationValueType);

  itkGetConstReferenceMacro( NewtonStep, DerivativeType );

  virtual void EstimateNewtonStepOverSubRange( const IndexRangeType& subrange );

protected:

  SizeValueType m_MaximumIterationsWithoutProgress;

  ParametersType m_CurrentPosition;
  ParametersType m_OptimalStep;

  MeasureType    m_PreviousValue;
  ParametersType m_PreviousPosition;

  MeasureType    m_BestValue;
  ParametersType m_BestPosition;
  SizeValueType  m_BestIteration;

  DerivativeType m_NewtonStep;

  std::string m_NewtonStepWarning;

  TInternalComputationValueType m_MaximumNewtonStepSizeInPhysicalUnits;

  HessianArrayType m_HessianArray;

  std::vector<bool> m_NewtonStepValidFlags;

  virtual void EstimateNewtonStep();

  virtual bool ComputeHessianAndStepWithBFGS(IndexValueType location);

  virtual void ResetNewtonStep(IndexValueType location);

  void CombineGradientNewtonStep();

  void ModifyCombinedNewtonStep();

  virtual void AdvanceOneStep(void) ITK_OVERRIDE;

  QuasiNewtonOptimizerv4Template();
  virtual ~QuasiNewtonOptimizerv4Template();

  virtual void PrintSelf(std::ostream & os, Indent indent) const ITK_OVERRIDE;

private:
  QuasiNewtonOptimizerv4Template(const Self &); //purposely not implemented
  void operator=(const Self &);                 //purposely not implemented

  typename DomainThreader<ThreadedIndexedContainerPartitioner, Self>::Pointer m_EstimateNewtonStepThreader;
};

typedef QuasiNewtonOptimizerv4Template<double> QuasiNewtonOptimizerv4;

} // end namespace itk

#ifndef ITK_MANUAL_INSTANTIATION
#include "itkQuasiNewtonOptimizerv4.hxx"
#endif

#endif