Solving time-harmonic wave propagation problems in the frequency domain and within heterogeneous media brings many mathematical and computational challenges, especially in the high frequency regime. We will focus here on computational challenges and try to identify the best algorithm and numerical strategy for a few well-known benchmark cases arising in applications. The aim is to cover, through numerical experimentation and consideration of the best implementation strategies, the main two-level domain decomposition methods developed in recent years for the Helmholtz equation. The theory for these methods is either out of reach with standard mathematical tools or does not cover all cases of practical interest. More precisely, we will focus on the comparison of three coarse spaces that yield two-level methods: the grid coarse space, DtN coarse space, and GenEO coarse space. We will show that they display different pros and cons, and properties depending on the problem and particular numerical setting.
翻译:解决频率领域和不同媒体内部的时间调和波波传播问题带来了许多数学和计算挑战,特别是在高频系统中。我们将在此集中关注计算挑战,并试图为应用中出现的几个众所周知的基准案例确定最佳算法和数字战略。目的是通过数字实验和考虑最佳执行战略,涵盖近年来为赫尔姆霍茨方程式开发的两个主要两级域分解方法。这些方法的理论要么无法与标准数学工具连接,要么没有涵盖所有实际感兴趣的案例。更准确地说,我们将侧重于比较产生两级方法的三个粗略空间:网格粗空、DtN粗空和GenEO粗空格空间。我们将显示,它们根据问题和特定数字设置,表现出不同的利弊特性。