不合格多拓扑混合离散化方法的BDDC预调节器分析

IF 2.9 2区 数学 Q1 MATHEMATICS, APPLIED
Santiago Badia, Jerome Droniou, Jordi Manyer, Jai Tushar
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引用次数: 0

摘要

SIAM数值分析杂志,64卷,第2期,456-484页,2026年4月。摘要。在这项工作中,我们以Badia, Droniou和Tushar (Foundations of Computational Mathematics, In press, 2025; doi:10.1007/s10208-025-09734-6)开发的离散轨迹理论为基础,分析了由非协调多边形混合离散化产生的约束(BDDC)预条件的平衡域分解的收敛速度。我们证明了独立于网格参数和子域数目的预条件的条件数的多对数界。分析依赖于人脸截断算子的连续性,我们在完全离散的多边形设置中建立了这一算子。为了验证这一理论,我们给出了数值实验,证实了截断估计和条件数界。特别地,我们用不连续骨架方法,特别是杂化不连续Galerkin方法和杂化高阶方法,对二阶椭圆型问题进行了弱可扩展性检验。我们还证明了该预条件对于具有大跳变的分段不连续系数的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of BDDC Preconditioners for Nonconforming Polytopal Hybrid Discretization Methods
SIAM Journal on Numerical Analysis, Volume 64, Issue 2, Page 456-484, April 2026.
Abstract. In this work, we build on the discrete trace theory developed by Badia, Droniou, and Tushar (Foundations of Computational Mathematics, in press, 2025; doi:10.1007/s10208-025-09734-6) to analyze the convergence rate of the balancing domain decomposition by constraints (BDDC) preconditioner generated from nonconforming polytopal hybrid discretizations. We prove polylogarithmic bounds on the condition number for the preconditioner that are independent of the mesh parameter and the number of subdomains and that hold on polytopal meshes. The analysis relies on the continuity of a face truncation operator, which we establish in the fully discrete polytopal setting. To validate the theory, we present numerical experiments that confirm the truncation estimate and condition number bounds. In particular, we conduct weak scalability tests for second-order elliptic problems discretized using discontinuous skeletal methods, specifically hybridizable discontinuous Galerkin and hybrid high-order methods. We also demonstrate the robustness of the preconditioner for piecewise discontinuous coefficients with large jumps.
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来源期刊
CiteScore
4.80
自引率
6.90%
发文量
110
审稿时长
4-8 weeks
期刊介绍: SIAM Journal on Numerical Analysis (SINUM) contains research articles on the development and analysis of numerical methods. Topics include the rigorous study of convergence of algorithms, their accuracy, their stability, and their computational complexity. Also included are results in mathematical analysis that contribute to algorithm analysis, and computational results that demonstrate algorithm behavior and applicability.
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