Collective marking for arbitrary order adaptive least-squares finite element methods with optimal rates

Carsten Carstensen, Rui Ma*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

The collective marking strategy with alternative refinement-indicators in adaptive mesh-refining of least-squares finite element methods (LSFEMs) has recently been shown to lead to optimal convergence rates in Carstensen (2020). The proofs utilize explicit identities for the lowest-order Raviart–Thomas and the Crouzeix–Raviart finite elements. This paper generalizes those results to arbitrary polynomial degree and mixed boundary conditions with some novel arguments. The analysis is outlined for the Poisson equation in 3D with mixed boundary conditions.

Original languageEnglish
Pages (from-to)271-281
Number of pages11
JournalComputers and Mathematics with Applications
Volume95
DOIs
Publication statusPublished - 1 Aug 2021
Externally publishedYes

Keywords

  • Adaptivity
  • Axioms of adaptivity
  • Finite element method
  • Higher order
  • Least-squares
  • Optimal convergence rates

Fingerprint

Dive into the research topics of 'Collective marking for arbitrary order adaptive least-squares finite element methods with optimal rates'. Together they form a unique fingerprint.

Cite this