Mercurial > hg > octave-nkf
diff scripts/polynomial/polyfit.m @ 2303:5cffc4b8de57
[project @ 1996-06-24 09:15:24 by jwe]
author | jwe |
---|---|
date | Mon, 24 Jun 1996 09:15:24 +0000 |
parents | 1b6e1629fb91 |
children | 2b5788792cad |
line wrap: on
line diff
--- a/scripts/polynomial/polyfit.m +++ b/scripts/polynomial/polyfit.m @@ -1,13 +1,32 @@ +### Copyright (C) 1996 John W. Eaton +### +### This file is part of Octave. +### +### Octave is free software; you can redistribute it and/or modify it +### under the terms of the GNU General Public License as published by +### the Free Software Foundation; either version 2, or (at your option) +### any later version. +### +### Octave is distributed in the hope that it will be useful, but +### WITHOUT ANY WARRANTY; without even the implied warranty of +### MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +### General Public License for more details. +### +### You should have received a copy of the GNU General Public License +### along with Octave; see the file COPYING. If not, write to the Free +### Software Foundation, 59 Temple Place - Suite 330, Boston, MA +### 02111-1307, USA. + function p = polyfit (x, y, n) -# usage: polyfit (x, y, n) -# -# Returns the coefficients of a polynomial p(x) of degree n that -# minimizes sumsq (p(x(i)) - y(i)), i.e., that best fits the data -# in the least squares sense. + ## usage: polyfit (x, y, n) + ## + ## Returns the coefficients of a polynomial p(x) of degree n that + ## minimizes sumsq (p(x(i)) - y(i)), i.e., that best fits the data + ## in the least squares sense. -# Written by KH (Kurt.Hornik@ci.tuwien.ac.at) on Dec 13, 1994 -# Copyright Dept of Statistics and Probability Theory TU Wien + ## Written by KH (Kurt.Hornik@ci.tuwien.ac.at) on Dec 13, 1994 + ## Copyright Dept of Statistics and Probability Theory TU Wien if (nargin != 3) usage ("polyfit (x, y, n)"); @@ -32,8 +51,8 @@ X = [X, tmp]; endif - # Compute polynomial coeffients, making returned value compatible - # with Matlab. + ## Compute polynomial coeffients, making returned value compatible + ## with Matlab. [Q, R] = qr (X, 0);