Analysis of a Schwarz-Fourier domain decomposition method

Fuente: arXiv
Enregistré dans:
Détails bibliographiques
Auteur principal: Reusken, Arnold
Format: Preprint
Publié: 2025
Sujets:
Accès en ligne:
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1866909884462661632
author Reusken, Arnold
author_facet Reusken, Arnold
contents The Schwarz domain decomposition method can be used for approximately solving a Laplace equation on a domain formed by the union of two overlapping discs. We consider an inexact variant of this method in which the subproblems on the discs are solved approximately using the projection on a Fourier subspace of the $L^2$ space on the boundary. This model problem is relevant for better understanding of the ddCOSMO solver that is used in computational chemistry. We analyze convergence properties of this Schwarz-Fourier domain decomposition method. The analysis is based on maximum principle arguments. We derive a new variant of the maximum principle and contraction number bounds in the maximum norm.
format Preprint
id arxiv_https___arxiv_org_abs_2511_01616
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Analysis of a Schwarz-Fourier domain decomposition method
Reusken, Arnold
Numerical Analysis
The Schwarz domain decomposition method can be used for approximately solving a Laplace equation on a domain formed by the union of two overlapping discs. We consider an inexact variant of this method in which the subproblems on the discs are solved approximately using the projection on a Fourier subspace of the $L^2$ space on the boundary. This model problem is relevant for better understanding of the ddCOSMO solver that is used in computational chemistry. We analyze convergence properties of this Schwarz-Fourier domain decomposition method. The analysis is based on maximum principle arguments. We derive a new variant of the maximum principle and contraction number bounds in the maximum norm.
title Analysis of a Schwarz-Fourier domain decomposition method
topic Numerical Analysis
url https://arxiv.org/abs/2511.01616