奇异摄动达西方程的一阶系统最小二乘有限元法

IF 0.6 4区 数学 Q4 STATISTICS & PROBABILITY Esaim-Probability and Statistics Pub Date : 2023-07-01 DOI:10.1051/m2an/2023049
Thomas Führer, Juha Videman
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引用次数: 0

摘要

我们定义并分析了一种最小二乘有限元方法,用于多孔介质中流体流动的比例Brinkman模型的一阶重新表述。我们引入了一个伪应力变量,可以从系统中消除压力变量。它可以通过简单的后处理恢复。证明了最小二乘泛函与参数相关范数是一致等价的,即与奇异扰动参数无关。这种范数等价意味着在离散解中求值的最小二乘泛函提供了一种有效和可靠的后验误差估计。给出了数值实验结果。
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First-order system least-squares finite element method for singularly perturbed Darcy equations
We define and analyse a least-squares finite element method for a first-order reformulation of a scaled Brinkman model of fluid flow through porous media. We introduce a pseudostress variable that allows to eliminate the pressure variable from the system. It can be recovered by a simple post-processing. It is shown that the least-squares functional is uniformly equivalent, i.e. , independent of the singular perturbation parameter, to a parameter dependent norm. This norm equivalence implies that the least-squares functional evaluated in the discrete solution provides an efficient and reliable a posteriori error estimator. Numerical experiments are presented.
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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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