/usr/share/octave/packages/optiminterp-0.3.4/optiminterp2.m is in octave-optiminterp 0.3.4-4.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 | ## Copyright (C) 2006 Alexander Barth <barth.alexander@gmail.com>
##
## This program 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 3 of the License, or (at your option) any later
## version.
##
## This program 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
## this program; if not, see <http://www.gnu.org/licenses/>.
## -*- texinfo -*-
## @deftypefn {Loadable Function} {[@var{fi},@var{vari}] = } optiminterp2(@var{x},@var{y},@var{f},@var{var},@var{lenx},@var{leny},@var{m},@var{xi},@var{yi})
## Performs a local 2D-optimal interpolation (objective analysis).
##
## Every elements in @var{f} corresponds to a data point (observation)
## at location @var{x},@var{y} with the error variance @var{var}.
##
## @var{lenx} and @var{leny} are correlation length in x-direction
## and y-direction respectively.
## @var{m} represents the number of influential points.
##
## @var{xi} and @var{yi} are the data points where the field is
## interpolated. @var{fi} is the interpolated field and @var{vari} is
## its error variance.
##
## The background field of the optimal interpolation is zero.
## For a different background field, the background field
## must be subtracted from the observation, the difference
## is mapped by OI onto the background grid and finally the
## background is added back to the interpolated field.
## The error variance of the background field is assumed to
## have a error variance of one.
## @end deftypefn
function [fi,vari] = optiminterp2(x,y,f,var,lenx,leny,m,xi,yi)
[fi,vari] = optiminterpn(x,y,f,var,lenx,leny,m,xi,yi);
endfunction
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