Spectral Preconditioners for High Frequency Wave Propagation Problems

用于高频波传播问题的频谱预处理器

• 批准号: 2595936
• 金额: --
• 依托单位: University of Strathclyde
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2595936
• 关键词: Spectral; Preconditioners; Frequency; Wave; Propagation

When developing realistic mathematical models for large-scale physical applications, one bottleneck in the procedure is often the efficient and effective solution of the resulting matrix equations. In addition to the inherent difficulties one can encounter in complex applications, we often experience extra difficulties when dealing with time-harmonic wave propagation problems. These difficulties stem from the indefinite or non-self-adjoint nature of the operators involved. This requires a paradigm shift in the design and analysis of solvers. The aim of this project is to build and analyse a new generation of spectral preconditioners based on generalised eigenvalue problems allowing a robust behaviour with respect to the physical properties of the medium. This requires a combination of numerical analysis and spectral analysis tools. The outcome will be both mathematical and practical, as this will fundamentally change the state of the art of solvers, and the results will be incorporated in open-source software. There is currently a large international research effort dedicated to the efficient numerical solution of frequency-domain (depending on the frequency [lowercase omega]) or time-harmonic PDEs, driven by the fact that in many applications (including EM scattering), the frequency-domain formulation is a viable alternative to the time domain, provided suitably efficient methods are available for solving the large linear systems that arise. Solving this equation is mathematically difficult especially for high-frequency problems. The growth of the number of degrees of freedom N with [lowercase omega] puts practical 3-d problems out of range of even state-of-the-art direct solvers, and so iterative methods such as (F)GMRES must be used. However, the fact that the systems are indefinite, without a "good" preconditioner, the number of iterations grows rapidly with [lowercase omega]. In this context, "good" means that one wants the number of iterations to ideally be independent of [lowercase omega], and for the preconditioner to be, roughly speaking, as parallelisable as possible. We therefore wish to achieve both parallel scalability together with the robustness with respect to the wave number. Domain decomposition (DD) methods are an attractive choice for preconditioners, since they are inherently parallel and known to be scalable and robust for self-adjoint coercive scalar elliptic PDEs.For self-adjoint coercive scalar elliptic PDEs there is a fairly well-developed theory for DD methods that allows very general decompositions and coarse grids, but the analysis of DD methods (and other solvers such as multigrid) for indefinite wave problems is largely an open problem. Coarse grids allow global transfer of information in the preconditioner, and increase robustness with respect to the number of the subdomains by achieving parallel scalability. The design of practical coarse spaces for frequency-domain wave problems, however, is still largely open (partly due to the lack of a theoretical framework that allows coarse grids). One approach to obtain practical coarse spaces is to use oscillatory basis functions. However, these basis functions are often eigenfunctions on non-self-adjoint operators and hence difficult to characterize from a mathematical point of view (even when their application to given configurations seems to be successful from a numerical point of view). The proposed plan of work includes:-mathematical analysis of spectral non-self-adjoint problems, in particular, such that arise in connection with Dirichlet-to-Neumann operators;-design of a general theory for a spectral two-level preconditioner;-numerical assessment and exploitation of the parallel properties on heterogenous benchmark test cases from geophysical and electromagnetic applications.

当开发大规模物理应用的现实数学模型时，过程中的一个瓶颈通常是所得到的矩阵方程的高效和有效的解。除了在复杂应用中可能遇到的固有困难之外，我们在处理时谐波传播问题时经常遇到额外的困难。这些困难源于所涉及的算子的不确定性或非自伴性。这需要在求解器的设计和分析中进行范式转换。该项目的目的是建立和分析新一代的光谱预处理器的基础上广义本征值问题，允许一个强大的行为相对于介质的物理性质。这需要数值分析和频谱分析工具的结合。结果将是数学和实用的，因为这将从根本上改变求解器的艺术状态，结果将被纳入开源软件。目前有大量的国际研究致力于频域（取决于频率[ω]）或时间谐波偏微分方程的有效数值解，这是由以下事实驱动的：在许多应用（包括电磁散射）中，频域公式是时域的可行替代方案，只要有适当有效的方法可用于解决出现的大型线性系统。求解这个方程在数学上是困难的，特别是对于高频问题。自由度N随[ω]的增加使实际的三维问题超出了最先进的直接求解器的范围，因此必须使用迭代方法，如（F）GMRES。然而，事实上，系统是不确定的，没有一个“好”的预条件，迭代次数随着[ω]迅速增长。在这种情况下，“好”意味着人们希望迭代次数在理想情况下与[ω]无关，并且粗略地说，预处理器尽可能可并行化。因此，我们希望实现并行可扩展性以及相对于波数的鲁棒性。区域分解（DD）方法是一种有吸引力的预条件子选择，因为它们具有固有的并行性，并且已知对于自伴强制标量椭圆偏微分方程是可扩展的和鲁棒的。对于自伴强制标量椭圆偏微分方程，DD方法有相当成熟的理论，允许非常一般的分解和粗网格，但是对DD方法（和其他求解器，如多重网格）用于不定波问题的分析在很大程度上是一个开放的问题。粗网格允许在预处理器中进行全局信息传输，并通过实现并行可扩展性来增加子域数量的鲁棒性。然而，频域波问题的实际粗空间的设计在很大程度上仍然是开放的（部分原因是缺乏允许粗网格的理论框架）。获得实际粗糙空间的一种方法是使用振荡基函数。然而，这些基函数通常是非自伴算子的本征函数，因此很难从数学的角度来描述（即使从数值的角度来看，它们对给定构型的应用似乎是成功的）。拟议的工作计划包括：-数学分析的频谱非自伴问题，特别是，这样出现在连接狄利克雷到诺依曼算子;-设计的一般理论的频谱两级预处理;-数值评估和开发的并行性能的异质基准测试案例，从地球物理和电磁应用。