登录入口学术活动预告

报告承办单位: 数学与统计学院

报告题目:  Unconstrained minimization of block-circulant polynomials via semidefinite program in third-order tensor space

报告人姓名:  黄正海

报告内容: In this talk, unconstrained minimization with block-circulant structured polynomials is studied. A particularly designed method is presented to show that it can solve problems with sizes much larger than the classical Lasserre's semidefinite relaxation. The current approach is in the same spirit of Lasserre's relaxation but with a careful exploration of the underlying circulant structure, which helps reducing the sizes of the result semidefinite program problems significantly. Despite of the reduction, a certification for the global optimality is derived as well.

报告人所在单位: 天津大学

报告人职称/职务及学术头衔:  教授、博导

报告时间:  2020年10月23（星期五）：19:30-20:30

报告方式:  线上腾讯会议，会议号ID：831-331-407

报告人简介:  黄正海，天津大学教授、博士生导师。中国数学会理事、中国运筹学会常务理事；中国计算数学会理事；中国工业与应用数学学会理事，中国运筹学会数学规划分会常务理事；天津市数学会副理事长；天津市运筹学会副理事长；天津市计算数学会副理事长；天津市工业与应用数学学会副理事长。国际期刊Pacific Journal of Optimization、Applied Mathematics and Computation、Statistics, Optimization & Information Computing编委；国内核心期刊《运筹学学报》编委。主要研究方向为稀疏优化问题的理论与算法；张量分析与多项式优化；锥优化的理论与算法。在Mathematical Programming，SIAM Journal on Matrix Analysis and Applications等高档次期刊发表SCI论文百余篇。