itkLBFGSBOptimizer.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 __itkLBFGSBOptimizer_h
#define __itkLBFGSBOptimizer_h

#include "itkIntTypes.h"
#include "itkSingleValuedNonLinearVnlOptimizer.h"

namespace itk
{
class ITK_EXPORT LBFGSBOptimizerHelper;

class ITK_EXPORT LBFGSBOptimizer:
  public SingleValuedNonLinearVnlOptimizer
{
public:
  typedef LBFGSBOptimizer                   Self;
  typedef SingleValuedNonLinearVnlOptimizer Superclass;
  typedef SmartPointer< Self >              Pointer;
  typedef SmartPointer< const Self >        ConstPointer;

  itkNewMacro(Self);

  itkTypeMacro(LBFGSBOptimizer, SingleValuedNonLinearVnlOptimizer);

  typedef Array< double > BoundValueType;

  typedef Array< long > BoundSelectionType;

  typedef vnl_vector< double > InternalBoundValueType;

  typedef vnl_vector< long > InternalBoundSelectionType;

  typedef LBFGSBOptimizerHelper InternalOptimizerType;

  void StartOptimization(void);

  virtual void SetCostFunction(SingleValuedCostFunction *costFunction);

  virtual void SetTrace(bool flag);

  itkGetMacro(Trace, bool);
  itkBooleanMacro(Trace);

  virtual void SetLowerBound(const BoundValueType & value);

  virtual const BoundValueType & GetLowerBound();

  virtual void SetUpperBound(const BoundValueType & value);

  virtual const BoundValueType & GetUpperBound();

  virtual void SetBoundSelection(const BoundSelectionType & select);

  virtual const BoundSelectionType & GetBoundSelection();

  virtual void SetCostFunctionConvergenceFactor(double);

  itkGetMacro(CostFunctionConvergenceFactor, double);

  virtual void SetProjectedGradientTolerance(double);

  itkGetMacro(ProjectedGradientTolerance, double);

  virtual void SetMaximumNumberOfIterations(unsigned int);

  itkGetMacro(MaximumNumberOfIterations, unsigned int);

  virtual void SetMaximumNumberOfEvaluations(unsigned int);

  itkGetMacro(MaximumNumberOfEvaluations, unsigned int);

  virtual void SetMaximumNumberOfCorrections(unsigned int);

  itkGetMacro(MaximumNumberOfCorrections, unsigned int);

  void SetScales(const ScalesType &)
  {
    itkExceptionMacro(<< "This optimizer does not support scales.");
  }

  itkGetConstReferenceMacro(CurrentIteration, unsigned int);

  MeasureType GetValue() const;

  itkGetConstReferenceMacro(InfinityNormOfProjectedGradient, double);

  const std::string GetStopConditionDescription() const;

protected:
  LBFGSBOptimizer();
  virtual ~LBFGSBOptimizer();
  void PrintSelf(std::ostream & os, Indent indent) const;

  typedef Superclass::CostFunctionAdaptorType CostFunctionAdaptorType;
private:
  LBFGSBOptimizer(const Self &); //purposely not implemented
  void operator=(const Self &);  //purposely not implemented

  // give the helper access to member variables, to update iteration
  // counts, etc.
  friend class LBFGSBOptimizerHelper;

  bool                       m_Trace;
  bool                       m_OptimizerInitialized;
  InternalOptimizerType *    m_VnlOptimizer;
  mutable std::ostringstream m_StopConditionDescription;
  BoundValueType             m_LowerBound;
  BoundValueType             m_UpperBound;
  BoundSelectionType         m_BoundSelection;

  double       m_CostFunctionConvergenceFactor;
  double       m_ProjectedGradientTolerance;
  unsigned int m_MaximumNumberOfIterations;
  unsigned int m_MaximumNumberOfEvaluations;
  unsigned int m_MaximumNumberOfCorrections;

  unsigned int m_CurrentIteration;
  double       m_InfinityNormOfProjectedGradient;
};
} // end namespace itk

#endif