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GaussFitter.h
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35 
36 #ifndef OPENMS_MATH_STATISTICS_GAUSSFITTER_H
37 #define OPENMS_MATH_STATISTICS_GAUSSFITTER_H
38 
41 
42 #include <vector>
43 
44 namespace OpenMS
45 {
46  namespace Math
47  {
59  class OPENMS_DLLAPI GaussFitter
60  {
61 public:
62 
65  {
66 public:
68  : A(-1.0), x0(-1.0), sigma(-1.0) {}
69  GaussFitResult(double a, double x, double s)
70  : A(a), x0(x), sigma(s) {}
71 
73  double A;
74 
76  double x0;
77 
79  double sigma;
80  };
81 
83  GaussFitter();
84 
86  virtual ~GaussFitter();
87 
89  void setInitialParameters(const GaussFitResult& result);
90 
98  GaussFitResult fit(std::vector<DPosition<2> > & points) const;
99 
108  static std::vector<double> eval(const std::vector<double>& evaluation_points, const GaussFitResult& model);
109 
110 protected:
111 
113 
114 private:
115 
117  GaussFitter(const GaussFitter & rhs);
118 
120  GaussFitter & operator=(const GaussFitter & rhs);
121  };
122  }
123 }
124 
125 #endif
Implements a fitter for Gaussian functions.
Definition: GaussFitter.h:59
double x0
parameter x0 of Gaussian distribution (center position)
Definition: GaussFitter.h:76
Main OpenMS namespace.
Definition: FeatureDeconvolution.h:47
double sigma
parameter sigma of Gaussian distribution (width)
Definition: GaussFitter.h:79
double A
parameter A of Gaussian distribution (amplitude)
Definition: GaussFitter.h:73
GaussFitResult init_param_
Definition: GaussFitter.h:112
GaussFitResult()
Definition: GaussFitter.h:67
struct of parameters of a Gaussian distribution
Definition: GaussFitter.h:64
GaussFitResult(double a, double x, double s)
Definition: GaussFitter.h:69

OpenMS / TOPP release 2.3.0 Documentation generated on Tue Jan 9 2018 18:22:00 using doxygen 1.8.13