Abstract
The problem of reconstruction of an unknown function from a finite number of given scattered data is well known and well studied in approximation theory. The methods developed with this goal are several and are successfully applied in different contexts. Due to the need of fast and accurate approximation methods, in this paper we numerically compare some variation of the Shepard method obtained by considering different basis functions.
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CITATION STYLE
Dell’Accio, F., Di Tommaso, F., & Gonnelli, D. (2020). Comparison of Shepard’s Like Methods with Different Basis Functions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11973 LNCS, pp. 47–55). Springer. https://doi.org/10.1007/978-3-030-39081-5_6
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