fit nonlinear model to data - better way to code it?
Subject: fit nonlinear model to data - better way to code it?
From: Jaime Villate
Date: Fri, 18 May 2012 13:03:56 +0100
On 05/18/2012 09:24 AM, Rupert Swarbrick wrote:
>
> Hmm, I was going to suggest that
>
> ev(f(x), [p1,p2,p3] = ans[1])
>
> should work, but surprisingly it doesn't. For example:
>
> (%i14) p1, [p1,p2,p3]=[3,4,5];
> (%o14) p1
>
> Does anyone know if there is a reason for this? It seems at odds with
>
> (%i15) [p1,p2,p3]: ans[1];
> (%o15) [- .2694298415835076, - .4248176441471781, 1.331747718996615]
> (%i16) p1;
> (%o16) - .2694298415835076
>
If I remember correctly, parallel substitution
[p1,p2,p3]: ans[1]
was added a few years ago by Robert, but function ev() has not been modified
to accept a similar syntax:
p1, [p1,p2,p3]=[3,4,5];
You still have to use the syntax:
p1, [p1=3, p2=4, p=5];
and the same goes for subst:
subst([p1=3, p2=4, p=5], p1);
rather than
subst([p1,p2,p3]=[3,4,5],p1);
which is not implemented yet.
Regards,
Jaime