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arXiv 1703.09136math.NAcs.NA
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一种用于二维分层介质亥姆霍兹方程的异质性快速多极方法 I:两层和三层情况

A Heterogeneous FMM for 2-D Layered Media Helmholtz Equation I: Two & Three Layers Cases

University of Massachusetts Lowell(马萨诸塞大学洛威尔分校);University of North Carolina at Chapel Hill(北卡罗来纳大学教堂山分校);Beijing Computational Science Research Center(北京计算科学研究中心);University of North Carolina at Charlotte(北卡罗来纳大学夏洛特分校)

Min Hyung Cho, Jingfang Huang, Dangxing Chen, Wei Cai

AI总结:

本文提出一种用于二维分层介质亥姆霍兹方程的异质性快速多极方法,通过两层和三层案例展示算法核心思想,利用多极展开压缩远场,实现高效计算并提升性能。

摘要:

本文介绍了一种新的用于二维分层介质亥姆霍兹方程的异质性快速多极方法(H-FMM)。为了展示主要算法思想,本文重点研究了两层和三层的情况。H-FMM的关键压缩步骤基于一个事实,即自由空间格林函数的多极展开可用于压缩分层介质或域格林函数源的远场,且翻译操作符对于多极和局部展开也有类似结果。通过严格证明域格林函数的Sommerfeld谱形式的图像表示,进行了数学误差分析。结果表明,在H-FMM算法中,

英文摘要:

In this paper, we will introduce a new heterogeneous fast multipole method (H-FMM) for 2-D Helmholtz equation in layered media. To illustrate the main algorithm ideas, we focus on the case of two and three layers in this work. The key compression step in the H-FMM is based on a fact that the multipole expansion for the sources of the free-space Green's function can be used also to compress the far field of the sources of the layered-media or domain Green's function, and a similar result exists for the translation operators for the multipole and local expansions. The mathematical error analysis is shown rigorously by an image representation of the Sommerfeld spectral form of the domain Green's function. As a result, in the H-FMM algorithm, both the "multipole-to-multipole" and "local-to-local" translation operators are the same as those in the free-space case, allowing easy adaptation of existing free-space FMM. All the spatially variant information of the domain Green's function are collected into the "multipole-to-local" translations and therefore the FMM becomes "heterogeneous". The compressed representation further reduces the cost of evaluating the domain Green's function when computing the local direct interactions. Preliminary numerical experiments are presented to demonstrate the efficiency and accuracy of the algorithm with much improved performance over some existing methods for inhomogeneous media. Furthermore, we also show that, due to the equivalence between the complex line image representation and Sommerfeld integral representation of layered media Green's function, the new algorithm can be generalized to multi-layered media with minor modification where details for compression formulas, translation operators, and bookkeeping strategies will be addressed in a subsequent paper.

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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