• 综合
  • 标题
  • 关键词
  • 摘要
  • 学者
  • 期刊-刊名
  • 期刊-ISSN
  • 会议名称
搜索

作者:

Xu, Fei (Xu, Fei.) | Huang, Qiumei (Huang, Qiumei.) (学者:黄秋梅)

收录:

EI Scopus SCIE

摘要:

In this paper, a type of accurate a posteriori error estimator is proposed for semilinear Neumann problem, which provides an asymptotic exact estimate for the finite element approximate solution. As its applications, we design two types of cascadic adaptive finite element methods for semilinear Neumann problem based on the proposed a posteriori error estimator. The first scheme is based on the Newton iteration, which needs to solve a linearized boundary value problem by some smoothing steps on each adaptive space. The second scheme is based on the multilevel correction method, which contains some smoothing steps for a linearized boundary value problem on each adaptive space and a solving step for semilinear Neumann equation on a low dimensional space. In addition, the proposed a posteriori error estimator provides the strategy to refine mesh and control the number of smoothing steps for both of the cascadic adaptive methods. Some numerical examples are presented to validate the efficiency of the proposed algorithms in this paper. (C) 2019 Elsevier Inc. All rights reserved.

关键词:

Adaptive finite element method A posteriori error estimate Cascadic multigrid method Complementary method Semilinear Neumann problem

作者机构:

  • [ 1 ] [Xu, Fei]Beijing Univ Technol, Coll Appl Sci, Beijing Inst Sci & Engn Comp, Beijing 100124, Peoples R China
  • [ 2 ] [Huang, Qiumei]Beijing Univ Technol, Coll Appl Sci, Beijing Inst Sci & Engn Comp, Beijing 100124, Peoples R China

通讯作者信息:

  • 黄秋梅

    [Xu, Fei]Beijing Univ Technol, Coll Appl Sci, Beijing Inst Sci & Engn Comp, Beijing 100124, Peoples R China;;[Huang, Qiumei]Beijing Univ Technol, Coll Appl Sci, Beijing Inst Sci & Engn Comp, Beijing 100124, Peoples R China

查看成果更多字段

相关关键词:

来源 :

APPLIED MATHEMATICS AND COMPUTATION

ISSN: 0096-3003

年份: 2019

卷: 362

4 . 0 0 0

JCR@2022

ESI学科: MATHEMATICS;

ESI高被引阀值:25

JCR分区:1

被引次数:

WoS核心集被引频次: 1

SCOPUS被引频次: 1

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 2

归属院系:

在线人数/总访问数:6009/2941473
地址:北京工业大学图书馆(北京市朝阳区平乐园100号 邮编:100124) 联系我们:010-67392185
版权所有:北京工业大学图书馆 站点建设与维护:北京爱琴海乐之技术有限公司