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Dirac assisted tree method for 1D heterogeneous Helmholtz equations with arbitrary variable wave numbers

机译:具有任意变波数的1D异构Helmholtz方程的DIDAC辅助树方法

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In this paper we introduce a new method called the Dirac Assisted Tree (DAT) method, which can handle 1D heterogeneous Helmholtz equations with arbitrarily large variable wave numbers. DAT breaks an original global problem into many parallel tree-structured small local problems, which are linked together to form a global solution by solving small linking problems. To solve the local problems in DAT, we propose a compact finite difference method (FDM) with arbitrarily high accuracy order and low numerical dispersion for piecewise smooth coefficients and variable wave numbers. This compact FDM is particularly appealing for DAT, because the local problems and their fluxes in DAT can be computed with high accuracy. DAT with such compact FDMs can solve heterogeneous Helmholtz equations with arbitrarily large variable wave numbers accurately by solving small linear systems - 4 x 4 matrices in the extreme case - with tridiagonal coefficient matrices in a parallel fashion. Several numerical examples are provided to illustrate the effectiveness of DAT using the Mth order compact FDMs with M = 6, 8 for numerically solving heterogeneous Helmholtz equations with variable wave numbers. We shall also discuss how to solve some special 2D Helmholtz equations using DAT.
机译:在本文中,我们介绍了一种名为DIDAC辅助树(DAT)方法的新方法,其可以处理具有任意大的可变波数的1D异构Helmholtz方程。 DAT将原始的全局问题分解为许多并行树结构的小本地问题,这些问题链接在一起,通过解决小的连接问题来形成全球解决方案。为了解决DAT中的当地问题,我们提出了一种紧凑的有限差分方法(FDM),具有任意高精度顺序和用于分段平滑系数和可变波数的低数值分散。这种紧凑的FDM对于DAT特别吸引力,因为可以通过高精度计算局部问题及其在DAT中的助条件。具有这种紧凑型FDMS的DAT可以通过在极端情况下求解小线性系统 - 4×4矩阵来精确地解决具有任意大的可变波数的异构Helmholtz方程 - 以并行方式的三角形系数矩阵。提供了几个数值示例以说明使用具有M = 6,8的MTH顺序紧凑型FDMS的DAT的有效性,用于以可变波数进行数值求解异构Helmholtz方程。我们还应使用DAT讨论如何解决一些特殊的2D Helmholtz方程。

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