Journal of Computational and Applied Mathematics2022,Vol.40430.DOI:10.1016/j.cam.2021.113874

Local averaging type a posteriori error estimates for the nonlinear steady-state Poisson-Nernst-Planck equations

Yang, Ying Shen, Ruigang Fang, Mingjuan Shu, Shi
Journal of Computational and Applied Mathematics2022,Vol.40430.DOI:10.1016/j.cam.2021.113874

Local averaging type a posteriori error estimates for the nonlinear steady-state Poisson-Nernst-Planck equations

Yang, Ying 1Shen, Ruigang 2Fang, Mingjuan 1Shu, Shi2
扫码查看

作者信息

  • 1. Guilin Univ Elect Technol
  • 2. Xiangtan Univ
  • 折叠

Abstract

The a posteriori error estimates are studied for a class of nonlinear stead-state Poisson-Nernst-Planck equations, which are a coupled system consisting of the Nernst-Planck equation and the Poisson equation. Both the global upper bounds and the local lower bounds of the error estimators are obtained by using a local averaging operator. Numerical experiments are given to confirm the reliability and efficiency of the error estimators. (C) 2021 Elsevier B.V. All rights reserved.

Key words

Poisson-Nernst-Planck equations/A posteriori error estimates/Finite element/Local averaging/Nonlinear/FINITE-ELEMENT-METHOD/ASYMPTOTIC ANALYSIS/DIFFERENCE SCHEME/DISCRETIZATIONS/APPROXIMATION/ALGORITHMS/RECOVERY/MODEL

引用本文复制引用

出版年

2022
Journal of Computational and Applied Mathematics

Journal of Computational and Applied Mathematics

EISCI
ISSN:0377-0427
被引量1
参考文献量44
段落导航相关论文