Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Journal articles
  4. A posteriori error estimates for the finite element approximation of the Stokes problem
 
journal article

A posteriori error estimates for the finite element approximation of the Stokes problem

Nobile, Fabio  
2003
TICAM Report 03-13

In this paper we propose a new technique to obtain upper and lower bounds on the energy norm of the error in the velocity field, for the Stokes problem. It relies on a splitting of the velocity error in two contributions: a projection error, that quantifies the distance of the computed solution to the space of divergence free functions, and an error in satisfying the momentum equation. We will show that both terms can be sharply estimated, from above and from below, by implicit a posteriori error estimators. In particular, the proposed estimator is based on the solution of local Stokes problems both with “Neumann-type” boundary conditions, extending the ideas presented in [12, 17] for the Laplace equation, and homogeneous Dirichlet boundary conditions. The numerical results show very good effectivity indices. The underlying idea is quite general and can be applied to other saddle point problems as well, as the ones arising in mixed formulations of second order PDEs.

  • Files
  • Details
  • Metrics
Type
journal article
Author(s)
Nobile, Fabio  
Date Issued

2003

Published in
TICAM Report 03-13
Subjects

lower bounds

•

error in the velocity field

•

Stokes problem

•

splitting of the velocity error

•

projection error

•

space of divergence

•

error in satisfying the momentum

URL

URL

http://www.ices.utexas.edu/research/reports/4/?yearFilter=2003&keywordQuery=
Editorial or Peer reviewed

NON-REVIEWED

Written at

OTHER

EPFL units
CSQI  
Available on Infoscience
July 30, 2012
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/84296
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés