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A method for interpolating scattered data based upon a minimum norm network


Author: Gregory M. Nielson
Journal: Math. Comp. 40 (1983), 253-271
MSC: Primary 65D05; Secondary 41A05, 65D07
DOI: https://doi.org/10.1090/S0025-5718-1983-0679444-7
MathSciNet review: 679444
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Abstract | References | Similar Articles | Additional Information

Abstract: A method for interpolating scattered data is described. Given $ ({x_i},{y_i},{z_i}),i = 1, \ldots, N$, a bivariate function S with continuous first order partial derivatives is defined which has the property that $ S({x_i},{y_i}) = {z_i},i = 1, \ldots ,N$. The method is based upon a triangulation of the domain and a curve network which has certain minimum pseudonorm properties. Algorithms and examples are included.


References [Enhancements On Off] (What's this?)

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Additional Information

DOI: https://doi.org/10.1090/S0025-5718-1983-0679444-7
Keywords: Bivariate interpolation, scattered data interpolation, random data interpolation, splines, multivariate approximation and interpolation
Article copyright: © Copyright 1983 American Mathematical Society

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