报告题目:On Pursuing Global Solutions Of Nonconvex Optimization Problems
报 告 人:文再文 教授(北京大学)
报告时间:2018年11月18日(星期日)上午10:00-11:30
报告地点:4号楼318室
邀 请 人:潘少华 教授
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数学学院
2018年11月12日
报告摘要:
The nonconvexity of many problems often hinder the algorithms to achieve the global optimizers. In this talk, we will present some recent advance on finding global solutions in optimization with orthogonality constraints, phase retrieval problems and a low-nonnegative-rank approximation method to identify the state aggregation structure of a finite-state Markov chain.