itkMultipleValuedVnlCostFunctionAdaptor.h

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 *  Copyright Insight Software Consortium
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 *  Licensed under the Apache License, Version 2.0 (the "License");
 *  you may not use this file except in compliance with the License.
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 *  See the License for the specific language governing permissions and
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#ifndef itkMultipleValuedVnlCostFunctionAdaptor_h
#define itkMultipleValuedVnlCostFunctionAdaptor_h

#include "itkMultipleValuedCostFunction.h"
#include "vnl/vnl_least_squares_function.h"
#include "ITKOptimizersExport.h"

namespace itk
{
class ITKOptimizers_EXPORT MultipleValuedVnlCostFunctionAdaptor:
  public vnl_least_squares_function
{
public:

  typedef   vnl_vector< double > InternalParametersType;

  typedef   vnl_vector< double > InternalMeasureType;

  typedef   vnl_matrix< double > InternalDerivativeType;

  typedef MultipleValuedCostFunction::MeasureType MeasureType;

  typedef MultipleValuedCostFunction::ParametersType ParametersType;

  typedef MultipleValuedCostFunction::DerivativeType DerivativeType;

  typedef Array< double > ScalesType;

  MultipleValuedVnlCostFunctionAdaptor(unsigned int spaceDimension,
                                       unsigned int numberOfValues);

  void SetCostFunction(MultipleValuedCostFunction *costFunction)
  { m_CostFunction = costFunction; }

  const MultipleValuedCostFunction * GetCostFunction(void) const
  { return m_CostFunction; }

  virtual void f(const InternalParametersType & inparameters,
                 InternalMeasureType    & measures) ITK_OVERRIDE;

  virtual void gradf(const InternalParametersType   & inparameters,
                     InternalDerivativeType   & gradient) ITK_OVERRIDE;

  virtual void compute(const InternalParametersType   & x,
                       InternalMeasureType      *f,
                       InternalDerivativeType   *g);

  void ConvertExternalToInternalGradient(
    const DerivativeType         & input,
    InternalDerivativeType & output);

  void ConvertExternalToInternalMeasures(
    const MeasureType         & input,
    InternalMeasureType & output);

  void SetUseGradient(bool);

  void UseGradientOn()  { this->SetUseGradient(true); }
  void UseGradientOff() { this->SetUseGradient(false); }
  bool GetUseGradient() const;

  void SetScales(const ScalesType & scales);

  unsigned long AddObserver(const EventObject & event, Command *) const;

  const MeasureType & GetCachedValue() const;

  const DerivativeType & GetCachedDerivative() const;

  const ParametersType & GetCachedCurrentParameters() const;

protected:

  void ReportIteration(const EventObject & event) const;

private:

  itkGetConstReferenceMacro(InverseScales, ScalesType);

  MultipleValuedCostFunction::Pointer m_CostFunction;

  bool            m_ScalesInitialized;
  ScalesType      m_InverseScales;
  Object::Pointer m_Reporter;

  mutable MeasureType    m_CachedValue;
  mutable DerivativeType m_CachedDerivative;
  mutable ParametersType m_CachedCurrentParameters;
};  // end of Class CostFunction
} // end namespace itk

#endif