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arXiv 2004.12268math.NAcs.NA
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非均匀随机介质中波传播的拟蒙特卡罗方法有限元分析

Quasi-Monte Carlo finite element analysis for wave propagation in heterogeneous random media

M. Ganesh, Frances Y. Kuo, Ian H. Sloan

摘要:

我们提出并分析了一种拟蒙特卡罗方法(QMC)算法,用于有效地模拟由Helmholtz方程建模的波在有界区域中的传播,其中折射率是随机的和空间不均匀的。我们的重点是在该区域可以包含多个波长的情况下。我们通过切换到Ganesh和Morgenstern最近开发的另一种符号确定的公式(数值算法,83,1441-1487,2020)来绕过亥姆霍兹问题的通常符号不确定性。代价是QMC方法所需的规律性分析变得更加技术化。尽管如此,我们得到了一个完整的分析,包括随机尺寸截断误差,有限元误差和容积误差,与扩散问题所获得的结果。

英文摘要:

We propose and analyze a quasi-Monte Carlo (QMC) algorithm for efficient simulation of wave propagation modeled by the Helmholtz equation in a bounded region in which the refractive index is random and spatially heterogenous. Our focus is on the case in which the region can contain multiple wavelengths. We bypass the usual sign-indefiniteness of the Helmholtz problem by switching to an alternative sign-definite formulation recently developed by Ganesh and Morgenstern (Numerical Algorithms, 83, 1441-1487, 2020). The price to pay is that the regularity analysis required for QMC methods becomes much more technical. Nevertheless we obtain a complete analysis with error comprising stochastic dimension truncation error, finite element error and cubature error, with results comparable to those obtained for the diffusion problem.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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