Andrea Cangiani
Adaptive discontinuous Galerkin methods for nonstationary convection-diffusion problems
Cangiani, Andrea; Georgoulis, Emmanuil H.; Metcalfe, Stephen
Authors
Emmanuil H. Georgoulis
Stephen Metcalfe
Abstract
© 2013 The authors. Published by Oxford University Press on behalf of the Institute of Mathematics and its Applications. All rights reserved. This work is concerned with the derivation of a robust a posteriori error estimator for a discontinuous Galerkin (dG) method discretization of a linear nonstationary convection-diffusion initial/boundary value problem and with the implementation of a corresponding adaptive algorithm. More specifically, we derive a posteriori bounds for the error in the L 2 (H 1) + L for an interior penalty dG discretization in space and a backward Euler discretization in time. Finally, an adaptive algorithm is proposed utilizing the error estimator. Optimal rate of convergence of the adaptive algorithm is observed in a number of test problems and for various Pèclet numbers.
Citation
Cangiani, A., Georgoulis, E. H., & Metcalfe, S. (2014). Adaptive discontinuous Galerkin methods for nonstationary convection-diffusion problems. IMA Journal of Numerical Analysis, 34(4), 1578-1597. https://doi.org/10.1093/imanum/drt052
Journal Article Type | Article |
---|---|
Acceptance Date | Aug 22, 2012 |
Online Publication Date | Oct 30, 2013 |
Publication Date | Oct 1, 2014 |
Deposit Date | Aug 9, 2019 |
Journal | IMA Journal of Numerical Analysis |
Print ISSN | 0272-4979 |
Electronic ISSN | 1464-3642 |
Publisher | Oxford University Press |
Peer Reviewed | Peer Reviewed |
Volume | 34 |
Issue | 4 |
Pages | 1578-1597 |
DOI | https://doi.org/10.1093/imanum/drt052 |
Public URL | https://nottingham-repository.worktribe.com/output/2411271 |
Publisher URL | https://academic.oup.com/imajna/article/34/4/1578/880229 |
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search