Extensions of Active Flux to arbitrary order of accuracy

IF 0.6 4区 数学 Q4 STATISTICS & PROBABILITY Esaim-Probability and Statistics Pub Date : 2023-03-01 DOI:10.1051/m2an/2023004
Rémi Abgrall, Wasilij Barsukow
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引用次数: 1

Abstract

Active Flux is a recently developed numerical method for hyperbolic conservation laws. Its classical degrees of freedom are cell averages and point values at cell interfaces. These latter are shared between adjacent cells, leading to a globally continuous reconstruction. The update of the point values includes upwinding, but without solving a Riemann Problem. The update of the cell average requires a flux at the cell interface, which can be immediately obtained using the point values. This paper explores different extensions of Active Flux to arbitrarily high order of accuracy, while maintaining the idea of global continuity. We propose to either increase the stencil while keeping the same degrees of freedom, or to increase the number of point values, or to include higher moments as new degrees of freedom. These extensions have different properties, and reflect different views upon the relation of Active Flux to the families of Finite Volume, Finite Difference and Finite Element methods.
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将有源通量扩展到任意精度
有源通量法是近年来发展起来的一种求解双曲型守恒律的数值方法。它的经典自由度是单元平均值和单元界面上的点值。后者在相邻的细胞之间共享,从而导致全局连续重建。点值的更新包括上绕,但不解决黎曼问题。单元平均值的更新需要单元界面处的通量,该通量可以立即使用点值获得。本文在保持全局连续性的前提下,探索了有源通量的不同扩展,以达到任意高阶精度。我们建议在保持相同自由度的情况下增加模板,或者增加点值的数量,或者包括更高的力矩作为新的自由度。这些扩展具有不同的性质,反映了对有源通量与有限体积法、有限差分法和有限元法族关系的不同看法。
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来源期刊
Esaim-Probability and Statistics
Esaim-Probability and Statistics STATISTICS & PROBABILITY-
CiteScore
1.00
自引率
0.00%
发文量
14
审稿时长
>12 weeks
期刊介绍: The journal publishes original research and survey papers in the area of Probability and Statistics. It covers theoretical and practical aspects, in any field of these domains. Of particular interest are methodological developments with application in other scientific areas, for example Biology and Genetics, Information Theory, Finance, Bioinformatics, Random structures and Random graphs, Econometrics, Physics. Long papers are very welcome. Indeed, we intend to develop the journal in the direction of applications and to open it to various fields where random mathematical modelling is important. In particular we will call (survey) papers in these areas, in order to make the random community aware of important problems of both theoretical and practical interest. We all know that many recent fascinating developments in Probability and Statistics are coming from "the outside" and we think that ESAIM: P&S should be a good entry point for such exchanges. Of course this does not mean that the journal will be only devoted to practical aspects.
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