具有非局部界面边界条件的域分解方法的收敛性分析和适用性

IF 2.1 2区 数学 Q1 MATHEMATICS, APPLIED
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引用次数: 0

摘要

过去,域分解法成功地用于求解大规模线性系统。然而,具有显著非局部效应的问题仍然是有效应用该方法的一大挑战。为了解决这一问题,最近提出了一种具有非局部界面边界条件的非重叠域分解方法,并对其进行了理论和数值研究。本文是该方法进一步发展的报告,旨在对该方法进行全面的收敛性分析,并辅以数值测试来支持理论结果。研究发现,问题的非局部效应在治理方程和边界条件中都有所体现,而后者的效应虽然对收敛性有重要影响,却从未被考虑在内。此外,论文还通过研究斯特克洛夫-平卡雷算子的符号,将从泊松方程中得出的分析结果扩展到更复杂的问题。扩展应用包括流体动力学中的一个模型方程,并更好地阐述了域分解法在求解该方程时的高性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Convergence analysis and applicability of a domain decomposition method with nonlocal interface boundary conditions

In the past, the domain decomposition method was developed successfully for solving large-scale linear systems. However, the problems with significant nonlocal effect remain a major challenger for applying the method efficiently. In order to sort out the problem, a non-overlapping domain decomposition method with nonlocal interface boundary conditions was recently proposed and studied both theoretically and numerically. This paper is the report on the further development of the method, aiming to provide a comprehensive convergence analysis of the method, with supplementary numerical tests to support the theoretical result. The nonlocal effect of the problem is found to be reflected in both the governing equation and boundary conditions, and the effect of the latter was never taken into account, although playing a significant role in affecting the convergence. In addition, the paper extends the applicability of the analysis result drawn from the Poisson’s equation to more complicated problems by examining the symbols of the Steklov–Poincaré operators. The extended application includes a model equation arising from fluid dynamics and the high performance of the domain decomposition method in solving this equation is better elaborated.

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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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