Improved error bounds for scattered data interpolation by radial basis functions

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Improved error bounds for scattered data interpolation by radial basis functions

If additional smoothness requirements and boundary conditions are met, the well–known approximation orders of scattered data interpolants by radial functions can roughly be doubled.

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Sobolev-type Error Estimates for Interpolation by Radial Basis Functions

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Scattered Data Modelling Using Radial Basis Functions

Radial basis functions are traditional and powerful tools for multivariate interpolation from scattered data. This self-contained talk surveys both theoretical and practical aspects of scattered data fitting by radial basis functions. To this end, basic features of the radial basis function interpolation scheme are first reviewed, such as well-posedness, numerical stability and approximation or...

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Local Error Estimates for Radial Basis Function Interpolation of Scattered Data

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ژورنال

عنوان ژورنال: Mathematics of Computation

سال: 1999

ISSN: 0025-5718

DOI: 10.1090/s0025-5718-99-01009-1