Iterative Pure Source Transfer Domain Decomposition Methods for Helmholtz Equations in Heterogeneous Media

IF 2.6 3区 物理与天体物理 Q1 PHYSICS, MATHEMATICAL Communications in Computational Physics Pub Date : 2023-12-01 DOI:10.4208/cicp.oa-2023-0032
Yu Du, Haijun Wu
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Abstract

We extend the pure source transfer domain decomposition method (PSTDDM) to solve the perfectly matched layer approximation of Helmholtz scattering problems in heterogeneous media. We first propose some new source transfer operators, and then introduce the layer-wise and block-wise PSTDDMs based on these operators. In particular, it is proved that the solution obtained by the layer-wise PSTDDM in $\mathbb{R}^2$ coincides with the exact solution to the heterogeneous Helmholtz problem in the computational domain. Second, we propose the iterative layer-wise and blockwise PSTDDMs, which are designed by simply iterating the PSTDDM alternatively over two staggered decompositions of the computational domain. Finally, extensive numerical tests in two and three dimensions show that, as the preconditioner for the GMRES method, the iterative PSTDDMs are more robust and efficient than PSTDDMs for solving heterogeneous Helmholtz problems.
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异质介质中亥姆霍兹方程的迭代纯源传输域分解方法
我们扩展了纯源传输域分解方法(PSTDDM),以求解异质介质中完全匹配层近似的亥姆霍兹散射问题。我们首先提出了一些新的源转移算子,然后介绍了基于这些算子的分层和分块 PSTDDM。特别是,我们证明了在$\mathbb{R}^2$中,层向PSTDDM得到的解与计算域中异质亥姆霍兹问题的精确解重合。其次,我们提出了分层迭代和顺时针迭代 PSTDDM,它们是通过在计算域的两个交错分解上交替迭代 PSTDDM 而设计的。最后,在二维和三维上进行的大量数值试验表明,作为 GMRES 方法的前提条件,迭代 PSTDDM 在解决异构 Helmholtz 问题时比 PSTDDM 更稳健、更高效。
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来源期刊
Communications in Computational Physics
Communications in Computational Physics 物理-物理:数学物理
CiteScore
4.70
自引率
5.40%
发文量
84
审稿时长
9 months
期刊介绍: Communications in Computational Physics (CiCP) publishes original research and survey papers of high scientific value in computational modeling of physical problems. Results in multi-physics and multi-scale innovative computational methods and modeling in all physical sciences will be featured.
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