Constrained multi-degree reduction with respect to Jacobi norms

Rachid Ait-Haddou*, Michael Bartoň

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

We show that a weighted least squares approximation of Bézier coefficients with factored Hahn weights provides the best constrained polynomial degree reduction with respect to the Jacobi L2-norm. This result affords generalizations to many previous findings in the field of polynomial degree reduction. A solution method to the constrained multi-degree reduction with respect to the Jacobi L2-norm is presented.

Original languageEnglish
Pages (from-to)23-30
Number of pages8
JournalComputer Aided Geometric Design
Volume42
DOIs
StatePublished - Feb 2016
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2015 Elsevier B.V. All rights reserved.

Keywords

  • Degree reduction
  • Hahn orthogonal polynomials
  • Jacobi norm
  • Weighted least squares

ASJC Scopus subject areas

  • Modeling and Simulation
  • Automotive Engineering
  • Aerospace Engineering
  • Computer Graphics and Computer-Aided Design

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