POV-Ray : Newsgroups : povray.advanced-users : Least Squares fitting : Re: Least Squares fitting Server Time
9 Jun 2023 01:12:32 EDT (-0400)
  Re: Least Squares fitting  
From: Bald Eagle
Date: 11 Mar 2023 20:15:00
Message: <web.640d267189b6dca71f9dae3025979125@news.povray.org>
"Kenneth" <kdw### [at] gmailcom> wrote:

> So the (naive) question that I've always pondered is, would CUBING the
> appropriate values-- instead of squaring them-- produce an even tighter fit
> between function and data points? (Assuming that I understand anything at all
> about why even 'squaring' is the accepted method, ha.) Although, I imagine that
> squaring is perhaps 'good enough', and that cubing would be an unnecessary and
> more complex mathematical step.
> From reading at least various Wikipedia pages re: the discovery or invention of
> 'sum of squares' etc, it kind of gives me the impression that Gauss et al came
> up with the method in an empirical way(?) rather than from any theoretical
> standpoint. And that it simply proved useful.


Post a reply to this message

Copyright 2003-2023 Persistence of Vision Raytracer Pty. Ltd.