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题名

A BALANCED OVERSAMPLING FINITE ELEMENT METHOD FOR ELLIPTIC PROBLEMS WITH OBSERVATIONAL BOUNDARY DATA

作者
通讯作者Chen, Zhiming
发表日期
2020
DOI
发表期刊
ISSN
0254-9409
EISSN
1991-7139
卷号38期号:2页码:355-374
摘要
In this paper we propose a finite element method for solving elliptic equations with observational Dirichlet boundary data which may subject to random noises. The method is based on the weak formulation of Lagrangian multiplier and requires balanced oversampling of the measurements of the boundary data to control the random noises. We show the convergence of the random finite element error in expectation and, when the noise is sub-Gaussian, in the Orlicz psi(2)-norm which implies the probability that the finite element error estimates are violated decays exponentially. Numerical examples are included.
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语种
英语
学校署名
其他
资助项目
China NSF[118311061] ; China NSF[11501551]
WOS研究方向
Mathematics
WOS类目
Mathematics, Applied ; Mathematics
WOS记录号
WOS:000514843500006
出版者
ESI学科分类
MATHEMATICS
来源库
Web of Science
引用统计
被引频次[WOS]:3
成果类型期刊论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/104368
专题南方科技大学
理学院_数学系
作者单位
1.Chinese Acad Sci, Acad Math & Syst Sci, LSEC, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Acad Math & Syst Sci, Inst Syst Sci, Beijing 100190, Peoples R China
4.Texas A&M Univ, Dept Ind & Syst Engn, College Stn, TX 77843 USA
5.Southern Univ Sci & Technol, Shenzhen 518055, Peoples R China
推荐引用方式
GB/T 7714
Chen, Zhiming,Tuo, Rui,Zhang, Wenlong. A BALANCED OVERSAMPLING FINITE ELEMENT METHOD FOR ELLIPTIC PROBLEMS WITH OBSERVATIONAL BOUNDARY DATA[J]. JOURNAL OF COMPUTATIONAL MATHEMATICS,2020,38(2):355-374.
APA
Chen, Zhiming,Tuo, Rui,&Zhang, Wenlong.(2020).A BALANCED OVERSAMPLING FINITE ELEMENT METHOD FOR ELLIPTIC PROBLEMS WITH OBSERVATIONAL BOUNDARY DATA.JOURNAL OF COMPUTATIONAL MATHEMATICS,38(2),355-374.
MLA
Chen, Zhiming,et al."A BALANCED OVERSAMPLING FINITE ELEMENT METHOD FOR ELLIPTIC PROBLEMS WITH OBSERVATIONAL BOUNDARY DATA".JOURNAL OF COMPUTATIONAL MATHEMATICS 38.2(2020):355-374.
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