通过松弛保留非线性函数的多因次时间积分法

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Hendrik Ranocha, Jochen Schütz
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引用次数: 0

摘要

我们将最新的松弛方法与多阶 Runge-Kutta 方法相结合,以保持常微分方程和偏微分方程的熵函数守恒或耗散。松弛方法是对显式和隐式方案的微小修改,除了基线方案外,每个时间步只需要解决一个标量方程。我们在一系列测试问题(包括三维可压缩欧拉方程)中证明了由此产生的方法的稳健性。特别是,我们指出某些熵保守问题(包括非线性分散波方程)的误差增长率有所提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiderivative time integration methods preserving nonlinear functionals via relaxation

We combine the recent relaxation approach with multiderivative Runge–Kutta methods to preserve conservation or dissipation of entropy functionals for ordinary and partial differential equations. Relaxation methods are minor modifications of explicit and implicit schemes, requiring only the solution of a single scalar equation per time step in addition to the baseline scheme. We demonstrate the robustness of the resulting methods for a range of test problems including the 3D compressible Euler equations. In particular, we point out improved error growth rates for certain entropy-conservative problems including nonlinear dispersive wave equations.

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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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