Unfit  3.1.1
Data fitting and optimization software
ODE2D.hpp
1 // Unfit: Data fitting and optimization software
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3 // Copyright (C) 2012- Dr Martin Buist & Dr Alberto Corrias
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22 #ifndef UNFIT_EXAMPLES_ODE2D_HPP_
23 #define UNFIT_EXAMPLES_ODE2D_HPP_
24 
25 #include <vector>
26 #include "GenericCostFunction.hpp"
27 
28 namespace Unfit
29 {
30 namespace Examples
31 {
44 class ODE2D : public GenericCostFunction
45 {
46  public:
59  ODE2D(const std::vector<double> &x, double dt)
60  : x_ {x},
61  dt_ {dt}
62  {}
63 
77  std::vector<double> operator()(const std::vector<double> &param)
78  {
79  auto residuals = x_;
80  double predicted_x = 0.0; // Initial condition
81  for (auto i = 0u; i < residuals.size(); ++i) {
82  residuals[i] -= predicted_x;
83  predicted_x += dt_ * (param[0] * predicted_x + param[1]);
84  }
85  return residuals;
86  }
87  private:
89  const std::vector<double> x_;
91  const double dt_;
92 };
93 
94 } // namespace Examples
95 } // namespace Unfit
96 
97 #endif
Fit a two parameter first order ordinary differential equation (ODE)
Definition: ODE2D.hpp:44
const double dt_
Definition: ODE2D.hpp:91
Definition: Bounds.hpp:27
std::vector< double > operator()(const std::vector< double > &param)
Definition: ODE2D.hpp:77
const std::vector< double > x_
Definition: ODE2D.hpp:89
Definition: GenericCostFunction.hpp:36
ODE2D(const std::vector< double > &x, double dt)
Definition: ODE2D.hpp:59