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Optimized Schwarz methods

机译:优化的Schwarz方法

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摘要

Optimized Schwarz methods are a new class of Schwarz methods with greatly enhanced convergence properties. They converge uniformly faster than classical Schwarz methods and their convergence rates dare asymptotically much better than the convergence rates of classical Schwarz methods if the overlap is of the order of the mesh parameter, which is often the case in practical applications. They achieve this performance by using new transmission conditions between subdomains which greatly enhance the information exchange between subdomains and are motivated by the physics of the underlying problem. We analyze in this paper these new methods for symmetric positive definite problems and show their relation to other modern domain decomposition methods like the new Finite Element Tearing and Interconnect (FETI) variants.
机译:优化的Schwarz方法是一类新的Schwarz方法,其收敛特性大大增强。如果重叠是网格参数的数量级,则它们的收敛速度比经典Schwarz方法的收敛速度快,并且收敛速度比经典Schwarz方法的收敛率渐进地好,这在实际应用中通常是这样。他们通过在子域之间使用新的传输条件来实现此性能,这极大地增强了子域之间的信息交换,并且受到潜在问题的物理学的激励。我们在本文中分析了这些对称正定问题的新方法,并显示了它们与其他现代域分解方法(如新的有限元撕裂和互连(FETI)变体)的关系。

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