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OpenMS
2.5.0
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69 : A(-1.0), x0(-1.0), sigma(-1.0), logsigma(-1.0) {}
71 : A(a), x0(x), sigma(s), logsigma(log(s)) {}
90 double eval(
double x)
const;
99 double log_eval_no_normalize(
double x)
const;
133 static std::vector<double> eval(
const std::vector<double>& evaluation_points,
const GaussFitResult& model);
Implements a fitter for Gaussian functions.
Definition: GaussFitter.h:60
GaussFitResult()
Definition: GaussFitter.h:68
struct of parameters of a Gaussian distribution
Definition: GaussFitter.h:65
double logsigma
cached value of log sigma
Definition: GaussFitter.h:103
Main OpenMS namespace.
Definition: FeatureDeconvolution.h:46
double sigma
parameter sigma of Gaussian distribution (width)
Definition: GaussFitter.h:80
GaussFitResult(double a, double x, double s)
Definition: GaussFitter.h:70
double x0
parameter x0 of Gaussian distribution (center position)
Definition: GaussFitter.h:77
double A
parameter A of Gaussian distribution (amplitude)
Definition: GaussFitter.h:74
GaussFitResult init_param_
Definition: GaussFitter.h:137