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发布时间:2019-06-17 09:36:44 访问次数: 字号:
报告题目:Tensor Eigenvalue Complementarity Problems
报告人:范金燕教授,上海交通大学
报告时间:2019年6月21日(星期五)10:30
报告地点:行健楼学术活动室665
邀请人:蔡邢菊副教授
摘要:
In this talk, we discuss how to solve tensor eigenvalue complementarity problems. Basic properties of standard and complementarity tensor eigenvalues are discussed. We formulate tensor eigenvalue complementarity problems as constrained polynomial optimization, which can be solved by Lasserre's hierarchy of semidefinite relaxations. We prove that the proposed semidefinite relaxation algorithm has finite convergence for generic tensors. Numerical experiments are presented to show the efficiency of proposed methods.