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发布时间:2018-11-13文章来源:华南理工大学数学学院浏览次数:853

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:20181118日(星期日)上午10:00-11:30             

报告地点:4号楼318

邀  请  人:潘少华  教授

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数学学院

20181112

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.