CPOLYMESH: Matlab and Python codes for complex polynomial approximation by Chebyshev admissible meshes

Authors

  • Dimitri Jordan Kenne 1Doctoral School of Exact and Natural Sciences, Jagiellonian University, Krakow, Poland
  • Alvise Sommariva University' di Padova https://orcid.org/0000-0002-8902-8063
  • Marco Vianello University of Padova

Keywords:

complex polynomial approximation, interpolation, least-squares, admissible polynomial meshes, discrete extremal sets, Approximate Fekete Points, Discrete Leja Points, Pseudo Leja Points, Lebesgue constant. (MSC2020: 65D05,65E05)

Abstract

We provide Matlab and Python codes for polynomial approximation on complex compact sets with connected complement, by Chebyshev-like admissible polynomial meshes on boundaries with piecewise (trigonometric) polynomial parametrization. Such meshes have lower cardinality with respect to those previously known. They are used for polynomial least-squares, for the extraction of extremal interpolation sets of Fekete and Leja type, as well as for the computation of the uniform norms (Lebesgue constants) of polynomial projection operators.

Published

2024-09-06

How to Cite

Kenne, D. J., Sommariva, A., & Vianello, M. (2024). CPOLYMESH: Matlab and Python codes for complex polynomial approximation by Chebyshev admissible meshes. Journal of Approximation Software, 1(2). Retrieved from https://ojs.unito.it/index.php/JAS/article/view/10829

Issue

Section

Articles