Polynomial degree reduction in the discrete L2-norm equals best Euclidean approximation of h-Bézier coefficients

Rachid Ait-Haddou*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

We show that the best degree reduction of a given polynomial P from degree n to m with respect to the discrete (Formula presented.) -norm is equivalent to the best Euclidean distance of the vector of h-Bézier coefficients of P from the vector of degree raised h-Bézier coefficients of polynomials of degree m. Moreover, we demonstrate the adequacy of h-Bézier curves for approaching the problem of weighted discrete least squares approximation. Applications to discrete orthogonal polynomials are also presented.

Original languageEnglish
Pages (from-to)1-14
Number of pages14
JournalBIT Numerical Mathematics
Volume56
Issue number1
DOIs
StatePublished - 1 Mar 2016
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2015, Springer Science+Business Media Dordrecht.

Keywords

  • Degree reduction
  • Discrete least squares
  • Discrete orthogonal polynomials
  • h-Bézier curves

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Computational Mathematics
  • Applied Mathematics

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