A note on a posteriori error analysis for dual mixed methods with mixed boundary conditions

IF 2.1 3区 数学 Q1 MATHEMATICS, APPLIED
T. Barrios, R. Bustinza, Camila Campos
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引用次数: 0

Abstract

In this article, we give a description of a technique to develop an a posteriori error estimator for the dual mixed methods, when applied to elliptic partial differential equations with non homogeneous mixed boundary conditions. The approach considers conforming finite elements for the discrete scheme, and a quasi‐Helmholtz decomposition result to obtain a residual a posteriori error estimator. After applying first a homogenization technique (for the Neumann boundary condition), we derive an a posteriori error estimator, which looks to be expensive to compute. This motivates the derivation of another a posteriori error estimator, that is fully computable. As a consequence, we establish the equivalence between the latter a posteriori error estimator and the natural norm of the error, that is, we prove the reliability and local efficiency of the aforementioned estimator. Finally, we report numerical examples showing the good properties of the estimator, in agreement with the theoretical results of this work.
关于具有混合边界条件的对偶混合方法的后验误差分析
本文给出了对偶混合方法的后验误差估计方法,并应用于具有非齐次混合边界条件的椭圆型偏微分方程。该方法考虑离散格式的一致性有限元,并利用拟亥姆霍兹分解结果得到残差后验误差估计量。在首先应用均匀化技术(对于诺伊曼边界条件)之后,我们推导出一个后验误差估计器,它看起来计算起来很昂贵。这激发了另一个完全可计算的后验误差估计的推导。因此,我们建立了后验误差估计量与误差自然范数之间的等价性,即证明了上述估计量的可靠性和局部效率。最后,通过数值算例证明了该估计器的良好性能,与本文的理论结果一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.20
自引率
2.60%
发文量
81
审稿时长
9 months
期刊介绍: An international journal that aims to cover research into the development and analysis of new methods for the numerical solution of partial differential equations, it is intended that it be readily readable by and directed to a broad spectrum of researchers into numerical methods for partial differential equations throughout science and engineering. The numerical methods and techniques themselves are emphasized rather than the specific applications. The Journal seeks to be interdisciplinary, while retaining the common thread of applied numerical analysis.
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