Shepard's method

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Shepard's method is an algorithm for fitting a smooth surface to a set of arbitrary data points. It was originally presented by Donald Shepard in a 1968 paper in the journal ACM National Conference, entitled "A Two-Dimensional Interpolation Function for Irregularly-spaced Data"

As noted in the paper, the method can easily be extended to higher dimensional space.

A modified version of the algorithm designed for trivariate interpolation was developed by Robert J. Renka and is available in Netlib as algorithm 661 in the toms library.

[edit] References

  • Shepard, Donald (1968). "Two-Dimensional Interpolation Function for Irregularly-spaced Data". Proc ACM National Conference: 517-524. 
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