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Recent developments in error estimates for scattered-data interpolation via radial basis functions

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Abstract

Error estimates for scattered data interpolation by “shifts” of a positive definite function for target functions in the associated reproducing kernel Hilbert space (RKHS) have been known for a long time. However, apart from special cases where data is gridded, these interpolation estimates do not apply when the target functions generating the data are outside of the associated RKHS, and in fact until very recently no estimates were known in such situations. In this paper, we review these estimates in cases where the underlying space is Rn and the positive definite functions are radial basis functions (RBFs).

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Correspondence to Francis J. Narcowich.

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AMS subject classification

41A25, 41A05, 41A63, 42B35

Research supported by grant DMS-0204449 from the National Science Foundation.

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Narcowich, F.J. Recent developments in error estimates for scattered-data interpolation via radial basis functions. Numer Algor 39, 307–315 (2005). https://doi.org/10.1007/s11075-004-3644-7

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  • DOI: https://doi.org/10.1007/s11075-004-3644-7

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