中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A posteriori error estimator for eigenvalue problems by mixed finite element method

文献类型:期刊论文

作者Jia ShangHui3; Chen HongTao1; Xie HeHu2
刊名SCIENCE CHINA-MATHEMATICS
出版日期2013
卷号56期号:5页码:887-900
关键词SUPERCONVERGENCE RESULT ELLIPTIC PROBLEMS APPROXIMATION CONVERGENCE second order elliptic eigenvalue problem mixed finite element method Raviart-Thomas a posteriori error estimate adaptive
ISSN号1674-7283
其他题名A posteriori error estimator for eigenvalue problems by mixed finite element method
英文摘要In this paper, a residual type of a posteriori error estimator for the general second order elliptic eigenpair approximation by the mixed finite element method is derived and analyzed, based on a type of superconvergence result of the eigenfunction approximation. Its efficiency and reliability are proved by both theoretical analysis and numerical experiments.
资助项目[NSFC] ; [National Natural Science Foundation of China] ; [National Basic Research Program of China (973 Project)] ; [International S&T Cooperation Program of China] ; [Croucher Foundation of Hong Kong Baptist University] ; [National Center for Mathematics and Interdisciplinary Science, CAS] ; [President Foundation of AMSS-CAS] ; [Fundamental Research Funds for the Central Universities]
语种英语
CSCD记录号CSCD:4835439
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/57393]  
专题中国科学院数学与系统科学研究院
作者单位1.厦门大学
2.中国科学院数学与系统科学研究院
3.Cent University Finance & Econ, Sch Appl Math, Beijing 100081, Peoples R China
推荐引用方式
GB/T 7714
Jia ShangHui,Chen HongTao,Xie HeHu. A posteriori error estimator for eigenvalue problems by mixed finite element method[J]. SCIENCE CHINA-MATHEMATICS,2013,56(5):887-900.
APA Jia ShangHui,Chen HongTao,&Xie HeHu.(2013).A posteriori error estimator for eigenvalue problems by mixed finite element method.SCIENCE CHINA-MATHEMATICS,56(5),887-900.
MLA Jia ShangHui,et al."A posteriori error estimator for eigenvalue problems by mixed finite element method".SCIENCE CHINA-MATHEMATICS 56.5(2013):887-900.

入库方式: OAI收割

来源:数学与系统科学研究院

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