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MATRIX-FREE ITERATIVE METHODS FOR PARALLEL FINITE ELEMENT COMPUTATIONS IN ACOUSTICS

机译:用于声学中的并行有限元计算的矩阵迭代方法

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In this paper we consider the iterative solution of non-Hermitian, indefinite and complex-valued matrix problems arising from finite element discretization of time-harmonic acoustics problems in exterior domains. The computational model is based on using Galerkin least squares finite element methods for the acoustic fluid, combined with the non-local Dirichlet-to-Neumann map as the radiation boundary condition. The emphasis here is to develop efficient computational procedures that are suitable for parallel iterative solution of large-scale problems. In this context, we develop a low-storage implementation of the non-local DtN map which allows the use of this exact boundary condition without any storage penalties related to its non-local nature. In order to accelerate iterative convergence, we consider a multilevel preconditioning approach based on the h-version of the hierarchical finite element method. Finite element formulations that employ hierarchical shape functions yield better conditioned matrices than formulations based on the usual Lagrange functions. This improved conditioning translates into a faster rate of convergence if projections between nodal and hierarchical basis functions are used to construct the preconditioning operator. We present numerical results for the solution of two-dimensional scattering problems to examine convergence rates that are realized on practical discretizations.
机译:本文考虑了外部域中时谐波声学问题的有限元离散化而产生的非密封,无限和复合矩阵问题的迭代解决方案。计算模型基于对声流体的Galerkin最小二乘有限元方法,与非本地Dirichlet-Neumann地图相结合作为辐射边界条件。这里重点是开发有效的计算过程,适用于大规模问题的并行迭代解决方案。在此上下文中,我们开发了非本地DTN映射的低存储器实现,允许使用这种精确的边界条件而没有与其非本地性质相关的任何存储障碍。为了加速迭代收敛,我们考虑基于分层有限元方法的H-型的多级预处理方法。使用层级功能的有限元制剂比基于通常的拉格朗日功能的配方产生更好的调节矩阵。如果使用节点和分层基本函数之间的投影来构造预处理操作员,则这种改进的调节转化为更快的收敛速率。我们为二维散射问题的解决方案提供了数值结果,以检查在实际离散化上实现的收敛速率。

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