Optimized Schwarz waveform relaxation methods for wave-heat coupling in one dimensional bounded domains.

IF 2 3区 数学 Q2 MATHEMATICS, APPLIED
Numerical Algorithms Pub Date : 2025-01-01 Epub Date: 2025-05-27 DOI:10.1007/s11075-025-02100-1
Franz Chouly, Martin J Gander, Véronique Martin
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引用次数: 0

Abstract

We are interested in heterogeneous domain decomposition methods to couple partial differential equations in space-time. The coupling can be used to describe the exchange of heat or forces or both, and has important applications like fluid-structure or ocean-atmosphere coupling. Heterogeneous domain decomposition methods permit furthermore the reuse of existing codes which represent long term investments, a further great advantage in applications. We require that our method can use different and adaptive time steps for the different models, can be executed in parallel, is robust, and can use independent fast inner solvers. An ideal candidate is Optimized Schwarz Waveform Relaxation (OSWR) that can be used without overlap, which is important for the different physical models. We focus here on the model problem of coupling a heat and a wave equation in one spatial dimension, which we consider to be a minimal example of relevance, and our goal is to design and analyze transmission conditions such that OSWR converges as fast as possible. We propose two strategies, a first one where we optimize the transmission using one common parameter, and a second one where we use the wave characteristics of one subdomain to choose one parameter, and then optimize the other. We illustrate our results with numerical experiments.

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一维有界域波热耦合的优化Schwarz波形松弛方法。
我们对在时空中耦合偏微分方程的异质域分解方法感兴趣。这种耦合可以用来描述热量或力的交换,也可以用来描述两者的交换,在流体-结构或海洋-大气耦合等方面有重要的应用。异构领域分解方法进一步允许重用代表长期投资的现有代码,这在应用程序中是一个进一步的巨大优势。我们要求我们的方法可以对不同的模型使用不同的和自适应的时间步长,可以并行执行,具有鲁棒性,并且可以使用独立的快速内求解器。理想的候选是优化施瓦茨波形松弛(OSWR),它可以在没有重叠的情况下使用,这对不同的物理模型很重要。我们在这里关注的是在一个空间维度上耦合热波方程的模型问题,我们认为这是一个最小的相关例子,我们的目标是设计和分析传输条件,使OSWR尽可能快地收敛。我们提出了两种策略,第一种是使用一个共同参数来优化传输,第二种是使用一个子域的波特性来选择一个参数,然后优化另一个参数。我们用数值实验来说明我们的结果。
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来源期刊
Numerical Algorithms
Numerical Algorithms 数学-应用数学
CiteScore
4.00
自引率
9.50%
发文量
201
审稿时长
9 months
期刊介绍: The journal Numerical Algorithms is devoted to numerical algorithms. It publishes original and review papers on all the aspects of numerical algorithms: new algorithms, theoretical results, implementation, numerical stability, complexity, parallel computing, subroutines, and applications. Papers on computer algebra related to obtaining numerical results will also be considered. It is intended to publish only high quality papers containing material not published elsewhere.
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