LevMarqFitter1D.h

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// $Maintainer: Timo Sachsenberg $
// $Authors: $
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#pragma once
 
#include <OpenMS/TRANSFORMATIONS/FEATUREFINDER/Fitter1D.h>
 
#include <unsupported/Eigen/NonLinearOptimization>
 
#include <algorithm>
 
#include <OpenMS/DATASTRUCTURES/ListUtils.h>
 
namespace OpenMS
{
 
  class OPENMS_DLLAPI LevMarqFitter1D :
    public Fitter1D
  {
 
public:
 
    typedef std::vector<double> ContainerType;
 
    //TODO: This is copy and paste from TraceFitter.h. Make a generic wrapper for LM optimization
    class GenericFunctor
    {
    public:
      int inputs() const { return m_inputs; }
      int values() const { return m_values; }
 
      GenericFunctor(int dimensions, int num_data_points)
      : m_inputs(dimensions), m_values(num_data_points) {}
 
      virtual ~GenericFunctor() {}
 
      virtual int operator()(const Eigen::VectorXd &x, Eigen::VectorXd &fvec) = 0;
 
      // compute Jacobian matrix for the different parameters
      virtual int df(const Eigen::VectorXd &x, Eigen::MatrixXd &J) = 0;
 
    protected:
      const int m_inputs, m_values;
    };
 
    LevMarqFitter1D() :
      Fitter1D()
    {
      this->defaults_.setValue("max_iteration", 500, "Maximum number of iterations using by Levenberg-Marquardt algorithm.", ListUtils::create<String>("advanced"));
    }
 
    LevMarqFitter1D(const LevMarqFitter1D & source) :
      Fitter1D(source),
      max_iteration_(source.max_iteration_)
    {
    }
 
    ~LevMarqFitter1D() override
    {
    }
 
    virtual LevMarqFitter1D & operator=(const LevMarqFitter1D & source)
    {
      if (&source == this) return *this;
 
      Fitter1D::operator=(source);
      max_iteration_ = source.max_iteration_;
 
      return *this;
    }
 
protected:
 
    bool symmetric_;
    Int max_iteration_;
 
    void optimize_(Eigen::VectorXd& x_init, GenericFunctor& functor);
 
    void updateMembers_() override;
 
  };
}