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Mathematics > Numerical Analysis

arXiv:2207.09791 (math)
[Submitted on 20 Jul 2022]

Title:Schwarz methods by domain truncation

Authors:Martin J. Gander, Hui Zhang
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Abstract:Schwarz methods use a decomposition of the computational domain into subdomains and need to put boundary conditions on the subdomain boundaries. In domain truncation one restricts the unbounded domain to a bounded computational domain and also needs to put boundary conditions on the computational domain boundaries. It turns out to be fruitful to think of the domain decomposition in Schwarz methods as truncation of the domain onto subdomains. The first truly optimal Schwarz method that converges in a finite number of steps was proposed in 1994 and used precisely transparent boundary conditions as transmission conditions between subdomains. Approximating these transparent boundary conditions for fast convergence of Schwarz methods led to the development of optimized Schwarz methods -- a name that has become common for Schwarz methods based on domain truncation. Compared to classical Schwarz methods which use simple Dirichlet transmission conditions and have been successfully used in a wide range of applications, optimized Schwarz methods are much less well understood, mainly due to their more sophisticated transmission conditions. This present situation is the motivation for our survey: to give a comprehensive review and precise exploration of convergence behaviors of optimized Schwarz methods based on Fourier analysis taking into account the original boundary conditions, many subdomain decompositions and layered media. The transmission conditions we study include the lowest order absorbing conditions (Robin), and also more advanced perfectly matched layers (PML), both developed first for domain truncation.
Comments: 32MB, 137 pages, a lot of figures
Subjects: Numerical Analysis (math.NA)
MSC classes: 65Y05
Cite as: arXiv:2207.09791 [math.NA]
  (or arXiv:2207.09791v1 [math.NA] for this version)
  https://doi.org/10.48550/arXiv.2207.09791
Journal reference: published in Acta Numerica 2022, pp.1-134
Related DOI: https://doi.org/10.1017/S0962492922000034

Submission history

From: Hui Zhang [view email]
[v1] Wed, 20 Jul 2022 10:09:28 UTC (33,284 KB)
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