反应扩散方程和广义Stokes方程HDG-P0格式的最优几何多网格预调节器

IF 0.6 4区 数学 Q4 STATISTICS & PROBABILITY
Guosheng Fu, Wenzheng Kuang
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引用次数: 0

摘要

本文给出了二维和三维简形网格上反应扩散方程和广义Stokes方程的具有数值积分(正交)的最低阶可杂化不连续Galerkin格式,记为HDG-P0。这里的最低阶是指全局HDG面自由度(dfs)的(混合)有限元空间是网格骨架上的分段常数空间。用一个不连续的分段线性空间来逼近局部原始未知数。我们对所提出的HDG- p0方案进行了最优先验误差分析,这是目前文献中尚未出现的HDG离散化数值积分。此外,我们还提出了符合简单网格的静态凝聚HDG-P0线性系统的最优几何多网格预调节器。在这两种情况下,我们首先用(稍作修改的)非一致性Crouzeix-Raviart (CR)离散化建立了静态压缩HDG系统的等效性,其中网格骨架上的全局(分段常数)HDG有限元空间与整个网格上的非一致性CR(分段线性)有限元空间具有自然的一对一对应关系。这种等效性使我们能够使用已建立的非一致性几何多网格理论来预置压缩HDG系统。给出了二维和三维的数值结果来验证我们的理论发现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Geometric Multigrid Preconditioners for HDG-P0 Schemes for the reaction-diffusion equation and the Generalized Stokes equations
We present the lowest-order hybridizable discontinuous Galerkin schemes with numerical integration (quadrature), denoted as HDG-P0 for the reaction-diffusion equation and the generalized Stokes equations on conforming simplicial meshes in two- and three-dimensions. Here by lowest order, we mean that the (hybrid) finite element space for the global HDG facet degrees of freedom (DOFs) is the space of piecewise constants on the mesh skeleton. A discontinuous piecewise linear space is used for the approximation of the local primal unknowns. We give the optimal a priori error analysis of the proposed HDG-P0 schemes, which hasn’t appeared in the literature yet for HDG discretizations as far as numerical integration is concerned. Moreover, we propose optimal geometric multigrid preconditioners for the statically condensed HDG-P0 linear systems on conforming simplicial meshes. In both cases, we first establish the equivalence of the statically condensed HDG system with a (slightly modified) nonconforming Crouzeix–Raviart (CR) discretization, where the global (piecewise-constant) HDG finite element space on the mesh skeleton has a natural one-to-one correspondence to the nonconforming CR (piecewise-linear) finite element space that live on the whole mesh. This equivalence then allows us to use the well-established nonconforming geometry multigrid theory to precondition the condensed HDG system. Numerical results in two- and three-dimensions are presented to verify our theoretical findings.
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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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