"Chong " <wingser719@gmail.com> wrote in message <k6jibg$hd1$1@newscl01ah.mathworks.com>...
> Dear all,
>
> I want to fit two curves with two equations which share several parameters. For example,
> y1(x) = a1*f1(x)+b1*f2(x);
> y2(x) = a1*f1(x)+b2*f2(x).
>
> Does anyone know how to do this kind of fitting?
>
> Thanks in advance.
This is a non linear least squares problem. lscurvefit, lsqnonlin or nlinfit in the optimization and stats toolboxes will do the job.
I assume you have data for 'x' and are measuring y1 and y2 as responses. For most of these functions setting up y (and x for that matter) as vectors will be the way to go.
Check out the documentation for the optimization tool box or curve fitting toolbox.![]()
> Dear all,
>
> I want to fit two curves with two equations which share several parameters. For example,
> y1(x) = a1*f1(x)+b1*f2(x);
> y2(x) = a1*f1(x)+b2*f2(x).
>
> Does anyone know how to do this kind of fitting?
>
> Thanks in advance.
This is a non linear least squares problem. lscurvefit, lsqnonlin or nlinfit in the optimization and stats toolboxes will do the job.
I assume you have data for 'x' and are measuring y1 and y2 as responses. For most of these functions setting up y (and x for that matter) as vectors will be the way to go.
Check out the documentation for the optimization tool box or curve fitting toolbox.