Volume 38, pp. 146-167, 2011.

Robust rational interpolation and least-squares

Pedro Gonnet, Ricardo Pachón, and Lloyd N. Trefethen


An efficient and robust algorithm and a Matlab code ratdisk are presented for rational interpolation or linearized least-squares approximation of a function based on its values at points equally spaced on a circle. The use of the singular value decomposition enables the detection and elimination of spurious poles or Froissart doublets that commonly complicate such fits without contributing to the quality of the approximation. As an application, the algorithm leads to a method for the stable computation of certain radial basis function interpolants in the difficult case of smoothness parameter $\varepsilon$ close to zero.

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Key words

Rational interpolation, spurious poles, Froissart doublets, Padé approximation, radial basis functions, ratdisk, singular value decomposition

AMS subject classifications

41A20, 41A21, 65D05

ETNA articles which cite this article

Vol. 44 (2015), pp. 593-623 Zlatko Drmač: SVD of Hankel matrices in Vandermonde-Cauchy product form

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