Two-stage approximation methods with extended B-splines

Oleg Davydov, Jennifer Prasiswa, Ulrich Reif

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

We develop and analyze a framework for two-stage methods with EB-splines, applicable to continuous and discrete approximation problems. In particular, we propose a weighted discrete least squares fit that yields optimal convergence rates for sufficiently dense data on Lipschitz domains in Rd.
Original languageEnglish
Article number02734-2
JournalMathematics of Computation
Volumen/a
Issue numbern/a
Early online date10 Jul 2013
DOIs
Publication statusPublished - 2013

Keywords

  • extended B-splines
  • Lipschitz domains

Fingerprint

Dive into the research topics of 'Two-stage approximation methods with extended B-splines'. Together they form a unique fingerprint.

Cite this