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Synchronous and asynchronous optimized Schwarz methods for one‐way subdivision of bounded domains
Numerical Linear Algebra with Applications ( IF 4.3 ) Pub Date : 2019-12-20 , DOI: 10.1002/nla.2279
Mireille El Haddad 1, 2 , José C. Garay 1, 3 , Frédéric Magoulès 4 , Daniel B. Szyld 1
Affiliation  

Convergence of both synchronous and asynchronous optimized Schwarz algorithms for the shifted Laplacian operator on a bounded rectangular domain, in a one‐way subdivision of the computational domain, with overlap, is shown. Convergence results are obtained under very mild conditions on the size of the subdomains and on the amount of overlap. A couple of results are also given, relating the convergence rate of the asynchronous method to changes in the size of the domain. Numerical experiments illustrate the theoretical results.

中文翻译:

用于有界域的单向细分的同步和异步优化Schwarz方法

图中显示了在有界矩形域上的位移Laplacian算子的同步和异步优化Schwarz算法的收敛性,在计算域的单向细分中有重叠。在非常温和的条件下,可以在子域的大小和重叠量上获得收敛结果。还给出了一些结果,这些结果将异步方法的收敛速度与域大小的变化相关。数值实验说明了理论结果。
更新日期:2019-12-20
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