报告时间：2020年12月12号上午11点

报告地点：腾讯会议（会议 ID：501 778 113）

线下地点：工西416 

报告摘要: For the rank regularized minimization problem, we introduce several classes of stationary points by the problem itself and its equivalent reformulations including the mathematical program with an equilibrium constraint (MPEC), the global exact penalty of the MPEC, and the difference-of-convex surrogate yielded by eliminating the dual part of the global exact penalty. A clear relation chart is established among these stationary points, which offers guidance to choose an appropriate reformulation for seeking a low-rank solution to this class of problems.

报告人简介：刘玉兰，博士，广东工业大学应用数学学院副教授，主要非光滑分析、低秩稀疏矩阵优化的理论及算法研究。主持省部级科研项目2项，参与国家自然科学基金3项。在《SIAM Journal on Optimization》、《Optimization》、 《Journal of Global Optimization 》和《Set-Valued and Variational Analysis》等杂志上发表多篇学术论文。