A super-localized generalized finite element method

IF 2.1 2区 数学 Q1 MATHEMATICS, APPLIED
Philip Freese, Moritz Hauck, Tim Keil, Daniel Peterseim
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引用次数: 0

Abstract

This paper presents a novel multi-scale method for elliptic partial differential equations with arbitrarily rough coefficients. In the spirit of numerical homogenization, the method constructs problem-adapted ansatz spaces with uniform algebraic approximation rates. Localized basis functions with the same super-exponential localization properties as the recently proposed Super-Localized Orthogonal Decomposition enable an efficient implementation. The method’s basis stability is enforced using a partition of unity approach. A natural extension to higher order is presented, resulting in higher approximation rates and enhanced localization properties. We perform a rigorous a priori and a posteriori error analysis and confirm our theoretical findings in a series of numerical experiments. In particular, we demonstrate the method’s applicability for challenging high-contrast channeled coefficients.

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超局部广义有限元法
本文针对具有任意粗糙系数的椭圆偏微分方程提出了一种新颖的多尺度方法。本着数值同质化的精神,该方法构建了具有统一代数逼近率的问题适配解析空间。本地化基函数与最近提出的超本地化正交分解具有相同的超指数本地化特性,因此可以高效地实施。该方法的基础稳定性是通过统一分割方法实现的。我们提出了向高阶的自然扩展,从而获得更高的逼近率和更强的局部化特性。我们进行了严格的先验和后验误差分析,并通过一系列数值实验证实了我们的理论发现。特别是,我们证明了该方法适用于具有挑战性的高对比度通道系数。
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来源期刊
Numerische Mathematik
Numerische Mathematik 数学-应用数学
CiteScore
4.10
自引率
4.80%
发文量
72
审稿时长
6-12 weeks
期刊介绍: Numerische Mathematik publishes papers of the very highest quality presenting significantly new and important developments in all areas of Numerical Analysis. "Numerical Analysis" is here understood in its most general sense, as that part of Mathematics that covers: 1. The conception and mathematical analysis of efficient numerical schemes actually used on computers (the "core" of Numerical Analysis) 2. Optimization and Control Theory 3. Mathematical Modeling 4. The mathematical aspects of Scientific Computing
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