Convergence analysis of Galerkin finite element approximations to shape gradients in eigenvalue optimization
2019-11-16
发表期刊BIT NUMERICAL MATHEMATICS
ISSN0006-3835
EISSN1572-9125
发表状态已发表
DOI10.1007/s10543-019-00782-3
摘要

This paper concerns the accuracy of Galerkin finite element approximations to two types of shape gradients for eigenvalue optimization. Under certain regularity assumptions on domains, a priori error estimates are obtained for the two approximate shape gradients. Our convergence analysis shows that the volume integral formula converges faster and offers higher accuracy than the boundary integral formula. Numerical experiments validate the theoretical results for the problem with a pure Dirichlet boundary condition. For the problem with a pure Neumann boundary condition, the boundary formulation numerically converges as fast as the distributed type.

关键词Shape optimization Shape gradient Eigenvalue problem Finite element Error estimate Multiple eigenvalue
收录类别SCI ; SCIE
语种英语
资助项目Natural Science Foundation of Shanghai[19ZR1414100] ; Science and Technology Commission of Shanghai Municipality[18dz2271000] ; National Natural Science Foundation of China[11201153][11571115][11601329]
WOS研究方向Computer Science ; Mathematics
WOS类目Computer Science, Software Engineering ; Mathematics, Applied
WOS记录号WOS:000541900300001
出版者SPRINGER
WOS关键词LEVEL SET METHODS ; DESIGN SENSITIVITY
原始文献类型Article
引用统计
文献类型期刊论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/102143
专题信息科学与技术学院
信息科学与技术学院_PI研究组_廖奇峰组
通讯作者Zhu, Shengfeng
作者单位
1.East China Normal Univ, Sch Math Sci, Dept Data Math, Shanghai 200241, Peoples R China
2.East China Normal Univ, Sch Math Sci, Shanghai Key Lab Pure Math & Math Practice, Shanghai 200241, Peoples R China
3.Zhejiang Univ, Sch Math Sci, Hangzhou 310027, Zhejiang, Peoples R China
4.ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai 201210, Peoples R China
推荐引用方式
GB/T 7714
Zhu, Shengfeng,Hu, Xianliang,Liao, Qifeng. Convergence analysis of Galerkin finite element approximations to shape gradients in eigenvalue optimization[J]. BIT NUMERICAL MATHEMATICS,2019.
APA Zhu, Shengfeng,Hu, Xianliang,&Liao, Qifeng.(2019).Convergence analysis of Galerkin finite element approximations to shape gradients in eigenvalue optimization.BIT NUMERICAL MATHEMATICS.
MLA Zhu, Shengfeng,et al."Convergence analysis of Galerkin finite element approximations to shape gradients in eigenvalue optimization".BIT NUMERICAL MATHEMATICS (2019).
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