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Re: Splines


From: Carlo de Falco
Subject: Re: Splines
Date: Wed, 1 Oct 2008 12:15:34 +0100


On 01/ott/08, at 11:55, Jaroslav Hajek wrote:

On Wed, Oct 1, 2008 at 12:44 PM, Carlo de Falco <address@hidden > wrote:

On 01/ott/08, at 10:56, Jaroslav Hajek wrote:


The interp1 functions *are* using splines when you specify "cubic"
interpolation.

not really, try...

x = sortrows (rand(10,2));
xsp = linspace(min(x(:,1)), max(x(:,1)), 100);
plot(x(:,1),x(:,2),'x', xsp, interp1(x(:,1), x(:,2), xsp, 'cubic'),
xsp,spline(x(:,1), x(:,2), xsp))


OK, 'spline' was what I meant, but I think that even the 'cubic'
method uses some kind of spline, though probably it doesn't ensure
smoothness.

interp1(x, y, 'cubic') is just a wrapper to pchip which does piece- wise cubic hermite interpolation the matlab help page for pchip contains a detailed comparison of pchip and spline, I think the algorithms in octave are the same as in matlab...

BTW there are different kinds of splines, try

plot(x(:,1),x(:,2),'x', xsp, interp1(x(:,1), x(:,2), xsp, 'spline'), xsp, ppval(catmullrom(x(:,1), x(:,2)), xsp),'g-')

to see how catmullrom differs from the default not-a-knot spline.
For this particular application I think the less oscillatory behaviour makes catmullrom preferable over spline

c.




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