Tchakaloff polynomial meshes

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Optimal polynomial meshes and Caratheodory-Tchakaloff submeshes on the sphere

Using the notion of Dubiner distance, we give an elementary proof of the fact that good covering point configurations on the 2-sphere are optimal polynomial meshes. From these we extract CaratheodoryTchakaloff (CATCH) submeshes for compressed Least Squares fitting. 2010 AMS subject classification: 41A10, 65D32.

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Polynomial Meshes: Computation and Approximation

We present the software package WAM, written in Matlab, that generates Weakly Admissible Meshes and Discrete Extremal Sets of Fekete and Leja type, for 2d and 3d polynomial least squares and interpolation on compact sets with various geometries. Possible applications range from data fitting to high-order methods for PDEs.

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We present a brief survey on the compression of discrete measures by Caratheodory-Tchakaloff Subsampling, its implementation by Linear or Quadratic Programming and the application to multivariate polynomial Least Squares. We also give an algorithm that computes the corresponding CaratheodoryTchakaloff (CATCH) points and weights for polynomial spaces on compact sets and manifolds in 2D and 3D. 2...

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ژورنال

عنوان ژورنال: Annales Polonici Mathematici

سال: 2019

ISSN: 0066-2216,1730-6272

DOI: 10.4064/ap181031-26-3