Homogeneous Multigrid for Hybrid Discretizations: Application to HHO Methods

ABSTRACT We prove the uniform convergence of the geometric multigrid V‐cycle for hybrid high‐order (HHO) and other discontinuous skeletal methods. Our results generalize previously established results for HDG methods, and our multigrid method uses standard smoothers and local solvers that are bounded, convergent, and consistent. We use a weak version of elliptic regularity in our proofs. Numerical experiments confirm our theoretical results.

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Publication Details

Journal
Numerical Methods for Partial Differential Equations
Published
2025-08-05
DOI
https://doi.org/10.1002/num.70023
Citations
1
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
1.33

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article

Homogeneous Multigrid for Hybrid Discretizations: Application to HHO Methods

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Advanced Numerical Methods in Computational Mathematics
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article

Homogeneous Multigrid for Hybrid Discretizations: Application to HHO Methods

Andreas Norbert Rupp, Daniele A. Di Pietro, Guido Kanschat, Pierre Matalon, Zhaonan Dong
article en
1 citations

Abstract

ABSTRACT We prove the uniform convergence of the geometric multigrid V‐cycle for hybrid high‐order (HHO) and other discontinuous skeletal methods. Our results generalize previously established results for HDG methods, and our multigrid method uses standard smoothers and local solvers that are bounded, convergent, and consistent. We use a weak version of elliptic regularity in our proofs. Numerical experiments confirm our theoretical results.

Numerical Methods for Partial Differential EquationsVol. 41(5)
Centre National de la Recherche Scientifique (FR), École Polytechnique (FR), Université de Montpellier (FR), Heidelberg University (DE), Centre de Mathématiques Appliquées de l'École polytechnique (FR), CERMICS (FR), Lappeenranta-Lahti University of Technology (FI), Saarland University (DE)
European Commission, Deutsche Forschungsgemeinschaft, Academy of Finland, Business Finland, H2020 European Research Council
Openalex Percentile: Top 28%
Advanced Numerical Methods in Computational Mathematics
1.33
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