[aefc8d]: inst / optiminterp2.m Maximize Restore History

Download this file

optiminterp2.m    45 lines (40 with data), 2.0 kB

 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