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/**
\file lin1d.hpp
\brief linear
\author Junhua Gu
*/
#ifndef VLINEAR_MODEL_H_
#define VLINEAR_MODEL_H_
#define OPT_HEADER
#include <core/fitter.hpp>
#include <misc/optvec.hpp>
#include <pre_estimater/pre_estimater.hpp>
#include <cmath>
namespace opt_utilities
{
template <typename T>
class lin1d
:public model<optvec<T>,optvec<T>,optvec<T>,std::string>
,public pre_estimatable<optvec<T>,optvec<T>,optvec<T>,std::string>
{
typedef optvec<T> Tv;
private:
lin1d<T>* do_clone()const
{
return new lin1d<T>(*this);
}
const char* do_get_type_name()const
{
return "1d linear model";
}
public:
lin1d()
{
this->push_param_info(param_info<Tv>("k",1));
this->push_param_info(param_info<Tv>("b",0));
}
public:
Tv do_eval(const Tv& x,const Tv& param)
{
Tv result(x.size());
//return x*get_element(param,0)+get_element(param,1);
for(size_t i=0;i!=x.size();++i)
{
result[i]=param[0]*x[i]+param[1];
}
return result;
}
private:
std::string do_get_information()const
{
return "<math><mrow> <mtext>f(x;k,b)=k x+b</mtext> \
</mrow> \
</math>";
}
};
}
#endif
//EOF
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