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-rw-r--r--distributions/normed_gauss1d.hpp58
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+#ifndef NGAUSS_MODEL_H_
+#define NGAUSS_MODEL_H_
+#define OPT_HEADER
+#include <core/fitter.hpp>
+#include <cmath>
+#include <misc/optvec.hpp>
+
+namespace opt_utilities
+{
+ template <typename T>
+ class normed_gauss1d
+ :public model<optvec<T>,optvec<T>,optvec<T>,std::string>
+ {
+ private:
+ normed_gauss1d* do_clone()const
+ {
+ return new normed_gauss1d<T>(*this);
+ }
+
+ const char* do_get_type_name()const
+ {
+ return "1d normed gaussian";
+ }
+ public:
+ normed_gauss1d()
+ {
+ this->push_param_info(param_info<optvec<T> >("x0",0));
+ this->push_param_info(param_info<optvec<T> >("sigma",1));
+ }
+
+
+ public:
+ optvec<T> do_eval(const optvec<T>& x,const optvec<T>& param)
+ {
+ const double pi=3.14159265358979323846;
+ T x0=get_element(param,0);
+ T sigma=get_element(param,1);
+ if(sigma*sigma<std::numeric_limits<double>::epsilon())
+ {
+ sigma=std::numeric_limits<double>::epsilon();
+ }
+ T N=1/sqrt(sigma*sigma*pi*2);
+ optvec<T> y=(x-x0)/sigma;
+ return N*exp(-y*y/2.);
+ }
+
+ private:
+ std::string do_get_information()const
+ {
+ return "";
+ }
+ };
+}
+
+
+
+#endif
+//EOF