论Schwarz方法的可扩展性

G. Ciaramella, Muhammad Hassan, B. Stamm
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引用次数: 11

摘要

本文分析了一阶并行Schwarz方法(PSM)对于多子域边界位于全局域内部的域分解问题的收敛性和可扩展性。例如,在计算化学的溶剂化模型中就会出现这样的问题。现有的关于一级PSM可扩展性的结果仅限于每个子域都可以访问外部边界,并且最多只有两个子域有公共重叠的情况。我们开发了一个系统框架,允许我们对域分解问题的Schwarz迭代算子的范数进行约束,其中子域可以完全嵌入到全局域的内部,并且任意数量的子域可以有共同的重叠。
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On the Scalability of the Schwarz Method
In this article, we analyse the convergence behaviour and scalability properties of the one-level Parallel Schwarz method (PSM) for domain decomposition problems in which the boundaries of many subdomains lie in the interior of the global domain. Such problems arise, for instance, in solvation models in computational chemistry. Existing results on the scalability of the one-level PSM are limited to situations where each subdomain has access to the external boundary, and at most only two subdomains have a common overlap. We develop a systematic framework that allows us to bound the norm of the Schwarz iteration operator for domain decomposition problems in which subdomains may be completely embedded in the interior of the global domain and an arbitrary number of subdomains may have a common overlap.
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