? numerical diff
- From: "Cheng Cosine" <acosine@xxxxxxxxxxxx>
- Date: Thu, 03 Aug 2006 00:49:39 GMT
Suppose we have a set of Chebyshev points fall in [-1, 1], and function
values at these points. We can use spectral numerical difference
to get high accuracy approximations for their derivatives at those points.
Porblem is, in real life, we cannot always take samples at Chebyshev nodes.
Often times, we have uniformly distributed sample points fall in whatever
interval. In this case, are there ways to use spectral numerical difference
or any other numerical difference methods to get high accuracy approx of
derivatives?
Thanks,
by Cheng Cosine
Aug/02/2k6 NC
.
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