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Near-optimal interpolation and quadrature in two variables: the Padua points

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Near-optimal interpolation and quadrature in two variables:

the Padua points

Marco Vianello

Department of Pure and Applied Mathematics University of Padova

via Trieste 63, 35121 - Padova (Italy)

Poster subject: Numerical Analysis and Scientific Computing

Abstract

The Padua points are the first known example of optimal points for total degree polynomial interpolation in two variables, with a Lebesgue constant increasing like log

2

of the degree; cf. [1, 2, 3]. Moreover, they gen- erate a nontensorial Clenshaw-Curtis-like cubature formula, which turns out to be competitive with the tensorial Gauss-Legendre formula and even with the few known minimal formulas in the square, on integrands that are not “too regular”; cf. [4]. Such a behavior is analogous to that of the univariate Clenshaw-Curtis formula; cf. [5]. We present a survey about properties, software implementations and applications of interpolation and numerical cubature at the Padua points.

References

[1] L. Bos, M. Caliari, S. De Marchi, M. Vianello and Y. Xu, Bivariate Lagrange interpolation at the Padua points: the generating curve approach, J. Approx. Theory 143 (2006), 15–

25.

[2] L. Bos, S. De Marchi, M. Vianello and Y. Xu, Bivariate Lagrange interpolation at the Padua points: the ideal theory approach, Numer. Math. 108 (2007), 43–57.

[3] M. Caliari, S. De Marchi and M. Vianello, Bivariate Lagrange interpolation at the Padua points: computational aspects, J. Comput. Appl. Math., published online 23 October 2007.

[4] A. Sommariva, M. Vianello and R. Zanovello, Nontensorial Clenshaw-Curtis cubature, submitted (downloadable at: http://www.math.unipd.it/∼marcov/publications.html).

[5] L.N. Trefethen, Is Gauss quadrature better than Clenshaw-Curtis?, SIAM Rev., to ap- pear.

Work in collaboration with M. Caliari and S. De Marchi (University of Verona), A. Som-

mariva (University of Padova); supported by the “ex-60%” funds of the University of Padova

and by the GNCS-INdAM.

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