Neumann-Neumann type domain decomposition of elliptic problems on metric graphs

Abstract In this paper we develop a Neumann-Neumann type domain decomposition method for elliptic problems on metric graphs. We describe the iteration in the continuous and discrete setting and rewrite the latter as a preconditioner for the Schur complement system. Then we formulate the discrete iteration as an abstract additive Schwarz iteration and prove that it converges to the finite element solution with a rate that is independent of the finite element mesh size. We also show that the condition number of the Schur complement is uniformly bounded with respect to the finite element mesh size. We provide an implementation and test it on various examples of interest and compare it to other preconditioners.

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Publication Details

Journal
BIT Numerical Mathematics
Published
2025-05-19
DOI
https://doi.org/10.1007/s10543-025-01067-8
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
0.00

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article

Neumann-Neumann type domain decomposition of elliptic problems on metric graphs

Mihály Kovács, Mihály A. Vághy
BIT Numerical Mathematics
Advanced Numerical Methods in Computational Mathematics
article

Neumann-Neumann type domain decomposition of elliptic problems on metric graphs

Mihály Kovács, Mihály A. Vághy
article en

Abstract

Abstract In this paper we develop a Neumann-Neumann type domain decomposition method for elliptic problems on metric graphs. We describe the iteration in the continuous and discrete setting and rewrite the latter as a preconditioner for the Schur complement system. Then we formulate the discrete iteration as an abstract additive Schwarz iteration and prove that it converges to the finite element solution with a rate that is independent of the finite element mesh size. We also show that the condition number of the Schur complement is uniformly bounded with respect to the finite element mesh size. We provide an implementation and test it on various examples of interest and compare it to other preconditioners.

BIT Numerical MathematicsVol. 65(2)
Budapest University of Technology and Economics (HU), Pázmány Péter Catholic University (HU), Chalmers University of Technology (SE)
European Cooperation in Science and Technology, Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, Pázmány Péter Katolikus Egyetem, Nemzeti Kutatási, Fejlesztési és Innovaciós Alap, National Research, Development and Innovation Office
Openalex Percentile: Top 88%
Advanced Numerical Methods in Computational Mathematics
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