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Domain decomposition methods for linear and semilinear elliptic stochastic partial differential equations

机译:线性和半线性椭圆型随机偏微分方程的域分解方法

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摘要

In this paper, we study several overlapping domain decomposition methods for the numerical solutions of some linear and semilinear elliptic stochastic partial differential equations discretized by the finite element methods. In particular, we show that the algorithms converge and the convergence rates are independent of the finite element mesh parameter, as well as the number of subdomains used in the domain decomposition. (c) 2007 Elsevier Inc. All rights reserved.
机译:本文针对有限元方法离散化的一些线性和半线性椭圆型随机偏微分方程的数值解,研究了几种重叠域分解方法。特别是,我们证明了算法的收敛性和收敛速度与有限元网格参数以及域分解中使用的子域数量无关。 (c)2007 Elsevier Inc.保留所有权利。

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