不可压缩流的双自适应人工压缩方法

IF 3.8 2区 数学 Q1 MATHEMATICS Journal of Numerical Mathematics Pub Date : 2019-07-18 DOI:10.1515/jnma-2019-0015
W. Layton, Michael McLaughlin
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引用次数: 17

摘要

提出了一种时间步长和人工压缩参数ε独立自适应的自适应人工压缩方法。所得到的算法得到了分析和数值试验的支持。嵌入了一阶和二阶方法。因此,自适应ε, k算法的计算、认知和空间复杂性比最简单的一阶、恒定ε, k的人工压缩方法大得可以忽略。
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Doubly-adaptive artificial compression methods for incompressible flow
Abstract This report presents adaptive artificial compression methods in which the time-step and artificial compression parameter ε are independently adapted. The resulting algorithms are supported by analysis and numerical tests. The first and second-order methods are embedded. As a result, the computational, cognitive, and space complexities of the adaptive ε, k algorithms are negligibly greater than that of the simplest, first-order, constant ε, constant k artificial compression method.
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来源期刊
CiteScore
5.90
自引率
3.30%
发文量
17
审稿时长
>12 weeks
期刊介绍: The Journal of Numerical Mathematics (formerly East-West Journal of Numerical Mathematics) contains high-quality papers featuring contemporary research in all areas of Numerical Mathematics. This includes the development, analysis, and implementation of new and innovative methods in Numerical Linear Algebra, Numerical Analysis, Optimal Control/Optimization, and Scientific Computing. The journal will also publish applications-oriented papers with significant mathematical content in computational fluid dynamics and other areas of computational engineering, finance, and life sciences.
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