Skip to main content

A multiscale discontinuous Galerkin method

Publication ,  Journal Article
Bochev, P; Hughes, TJR; Scovazzi, G
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
June 29, 2006

We propose a new class of Discontinuous Galerkin (DG) methods based on variational multiscale ideas. Our approach begins with an additive decomposition of the discontinuous finite element space into continuous (coarse) and discontinuous (fine) components, Variational multiscale analysis is used to define an interscale transfer operator that associates coarse and fine scale functions. Composition of this operator with a donor DG method yields a new formulation that combines the advantages of DG methods with the attractive and more efficient computational structure of a continuous Galerkin method. The new class of DG methods is illustrated for a scalar advection-diffusion problem. © Springer-Verlag Berlin Heidelberg 2006.

Duke Scholars

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

Publication Date

June 29, 2006

Volume

3743 LNCS

Start / End Page

84 / 93

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Bochev, P., Hughes, T. J. R., & Scovazzi, G. (2006). A multiscale discontinuous Galerkin method. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3743 LNCS, 84–93. https://doi.org/10.1007/11666806_8
Bochev, P., T. J. R. Hughes, and G. Scovazzi. “A multiscale discontinuous Galerkin method.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3743 LNCS (June 29, 2006): 84–93. https://doi.org/10.1007/11666806_8.
Bochev P, Hughes TJR, Scovazzi G. A multiscale discontinuous Galerkin method. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2006 Jun 29;3743 LNCS:84–93.
Bochev, P., et al. “A multiscale discontinuous Galerkin method.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3743 LNCS, June 2006, pp. 84–93. Scopus, doi:10.1007/11666806_8.
Bochev P, Hughes TJR, Scovazzi G. A multiscale discontinuous Galerkin method. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2006 Jun 29;3743 LNCS:84–93.

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

Publication Date

June 29, 2006

Volume

3743 LNCS

Start / End Page

84 / 93

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences