I'm not an expert. But: I did a quick spin through the help files and came up with splin2d and interp2d. It looks like what you want -- get the splines in x and T using splin2d, and find the y values for a given x and T using interp2d.
I don't know if this is the very best way to do this mathematically -- I know that this sort of 2D interpolated look-up is used extensively in engine management units in cars (they're called "maps" in that lingo), so there's probably a lot of research on accuracy vs. efficiency tradeoffs. On Fri, 2017-03-24 at 18:40 +0100, paul.carr...@free.fr wrote: > Hi all, > > I don't know if my question is relavante (or not), but I'm wondering > what is the best way to perform a 3D interpolation, from for the > matrix definition to the interpolation procedure. > > Let me using a basic example: I've some curves y = f(x,T) defining a > material behaviour at different temperatures i.e. 1 curve (x,y) per > temperature: > - y = f(x,20) > - y = f(x,100) > - y = f(x,200) > > etc. > > What is the best way to define a single matrix? [x y T] ? > > > Next step is to be able to perform a 3D interpolation whatever is the > temperature (for a given x) ... any advice? (of course I'm looking to > interp3D flag. > > Thanks for any feedback > > Paul > _______________________________________________ > users mailing list > users@lists.scilab.org > http://lists.scilab.org/mailman/listinfo/users -- Tim Wescott www.wescottdesign.com Control & Communications systems, circuit & software design. Phone: 503.631.7815 Cell: 503.349.8432 _______________________________________________ users mailing list users@lists.scilab.org http://lists.scilab.org/mailman/listinfo/users
