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  • 张立卫 ( 教授 )

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A Sequential Convex Program Approach to an Inverse Linear Semidefinite Programming Problem

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论文类型:期刊论文
第一作者:Wu, Jia
通讯作者:Wu, J (reprint author), Dalian Univ Technol, Sch Math Sci, Inst Operat Res & Control Theory, Dalian 116024, Peoples R China.
合写作者:Zhang, Yi,Zhang, Liwei,Lu, Yue
发表时间:2016-08-01
发表刊物:ASIA-PACIFIC JOURNAL OF OPERATIONAL RESEARCH
收录刊物:SCIE、EI、Scopus
卷号:33
期号:4
ISSN号:0217-5959
关键字:Inverse linear semidefinite programming problems; mathematical program with semidefinite cone complementarity constraints; penalty methods; sequential convex program
摘要:This paper is devoted to the study of solving method for a type of inverse linear semi-definite programming problem in which both the objective parameter and the right-hand side parameter of the linear semidefinite programs are required to adjust. Since such kind of inverse problem is equivalent to a mathematical program with semidefinite cone complementarity constraints which is a rather difficult problem, we reformulate it as a nonconvex semi-definte programming problem by introducing a nonsmooth partial penalty function to penalize the complementarity constraint. The penalized problem is actually a nonsmooth DC programming problem which can be solved by a sequential convex program approach. Convergence analysis of the penalty models and the sequential convex program approach are shown. Numerical results are reported to demonstrate the efficiency of our approach.

 

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