中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Numerical solutions of an optimal control problem governed by a Ginzburg-Landau model in superconductivity

文献类型:期刊论文

作者Chen, ZM; Hoffmann, KH
刊名NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION
出版日期1998
卷号19期号:7-8页码:737-757
关键词superconductivity finite element method exterior penalty function method
ISSN号0163-0563
英文摘要A numerical method to solve a constrained optimal control problem governed by a generalized Ginzburg-Landau model which describes the phase transitions taking place in the superconducting thin films with variable thickness. The method is based on a finite element method to approximate the state equations and an exterior penalty function algorithm to solve the discrete optimal control problem. The convergence of the discrete optimal solutions to the continuous optimal solutions and the convergence of the exterior penalty function algorithm are proved. The objective of the work is to study efficient numerical methods for exploring the possibilities of controlling the motion of vortices in the superconducting thin films through the external magnetic field.
WOS研究方向Mathematics
语种英语
WOS记录号WOS:000075791700004
出版者MARCEL DEKKER INC
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/13577]  
专题中国科学院数学与系统科学研究院
作者单位1.Acad Sinica, Inst Math, Beijing 100080, Peoples R China
2.Tech Univ Munchen, Lehrstuhl Angew Math, D-80335 Munchen, Germany
推荐引用方式
GB/T 7714
Chen, ZM,Hoffmann, KH. Numerical solutions of an optimal control problem governed by a Ginzburg-Landau model in superconductivity[J]. NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION,1998,19(7-8):737-757.
APA Chen, ZM,&Hoffmann, KH.(1998).Numerical solutions of an optimal control problem governed by a Ginzburg-Landau model in superconductivity.NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION,19(7-8),737-757.
MLA Chen, ZM,et al."Numerical solutions of an optimal control problem governed by a Ginzburg-Landau model in superconductivity".NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION 19.7-8(1998):737-757.

入库方式: OAI收割

来源:数学与系统科学研究院

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