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A Model Reduction Algorithm for Solving Multiple Scattering Problems Using Iterative Methods

机译:一种使用迭代方法求解多重散射问题的模型简化算法

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摘要

In this paper we propose a new method for solving high-frequency scattering problems by multiple objects. A model reduction algorithm based on the macro basis function (MBF) method is used to find an approximate solution within a subspace spanned by the solutions of several single scattering subproblems. Different iterative methods for generating the MBFs are compared. The whole process relies on a finite element approach and is applied to convex obstacle scattering.
机译:在本文中,我们提出了一种解决多目标高频散射问题的新方法。使用基于宏基函数(MBF)方法的模型简化算法,在由几个单个散射子问题的解跨越的子空间中找到近似解。比较了生成MBF的不同迭代方法。整个过程依赖于有限元方法,并应用于凸形障碍物散射。

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