A localized orthogonal decomposition strategy for hybrid discontinuous Galerkin methods

We formulate and analyze a multiscale method for an elliptic problem with an oscillatory coefficient based on a skeletal (hybrid) formulation. More precisely, we employ hybrid discontinuous Galerkin approaches and combine them with the localized orthogonal decomposition methodology to obtain a coarse-scale skeletal method that effectively includes fine-scale information. This work is the first step in reliably merging hybrid skeletal formulations and localized orthogonal decomposition to unite the advantages of both strategies. Numerical experiments are presented to illustrate the theoretical findings.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-04-25
DOI
https://doi.org/10.1051/m2an/2025029/pdf
Primary Topic
History of Computing Technologies
Type
article
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article

A localized orthogonal decomposition strategy for hybrid discontinuous Galerkin methods

Springer Link (Chiba Institute of Technology)
History of Computing Technologies
article

A localized orthogonal decomposition strategy for hybrid discontinuous Galerkin methods

article en

Abstract

We formulate and analyze a multiscale method for an elliptic problem with an oscillatory coefficient based on a skeletal (hybrid) formulation. More precisely, we employ hybrid discontinuous Galerkin approaches and combine them with the localized orthogonal decomposition methodology to obtain a coarse-scale skeletal method that effectively includes fine-scale information. This work is the first step in reliably merging hybrid skeletal formulations and localized orthogonal decomposition to unite the advantages of both strategies. Numerical experiments are presented to illustrate the theoretical findings.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 52%
History of Computing Technologies
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A localized orthogonal decomposition strategy for hybrid discontinuous Galerkin methods · Springer Link (Chiba Institute of Technology) (2025) | TGRS Research Map | TGRS