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