Finite element methods for surface PDEs*

IF 16.3 1区 数学 Q1 MATHEMATICS Acta Numerica Pub Date : 2013-04-02 DOI:10.1017/S0962492913000056
G. Dziuk, C. M. Elliott
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引用次数: 515

Abstract

In this article we consider finite element methods for approximating the solution of partial differential equations on surfaces. We focus on surface finite elements on triangulated surfaces, implicit surface methods using level set descriptions of the surface, unfitted finite element methods and diffuse interface methods. In order to formulate the methods we present the necessary geometric analysis and, in the context of evolving surfaces, the necessary transport formulae. A wide variety of equations and applications are covered. Some ideas of the numerical analysis are presented along with illustrative numerical examples.
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表面偏微分方程的有限元方法*
本文考虑用有限元法逼近曲面上偏微分方程的解。我们着重于三角曲面上的曲面有限元、使用曲面的水平集描述的隐式曲面方法、未拟合有限元方法和扩散界面方法。为了制定方法,我们提出了必要的几何分析,并在不断变化的表面的背景下,必要的输运公式。涵盖了各种各样的方程和应用。给出了数值分析的一些思路,并给出了数值算例。
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来源期刊
Acta Numerica
Acta Numerica MATHEMATICS-
CiteScore
26.00
自引率
0.70%
发文量
7
期刊介绍: Acta Numerica stands as the preeminent mathematics journal, ranking highest in both Impact Factor and MCQ metrics. This annual journal features a collection of review articles that showcase survey papers authored by prominent researchers in numerical analysis, scientific computing, and computational mathematics. These papers deliver comprehensive overviews of recent advances, offering state-of-the-art techniques and analyses. Encompassing the entirety of numerical analysis, the articles are crafted in an accessible style, catering to researchers at all levels and serving as valuable teaching aids for advanced instruction. The broad subject areas covered include computational methods in linear algebra, optimization, ordinary and partial differential equations, approximation theory, stochastic analysis, nonlinear dynamical systems, as well as the application of computational techniques in science and engineering. Acta Numerica also delves into the mathematical theory underpinning numerical methods, making it a versatile and authoritative resource in the field of mathematics.
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