报告主题: 多项式广义纳什均衡问题/ Generalized Nash Equilibrium Problems of Polynomials
报 告 人: 唐新东
报告时间:2026年 4月29日(星期三)下午15:00-16:00
报告地点:清清文理楼3A02
邀 请 人: 张威副教授、俞礼军副教授
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数学学院
2026年4月23日
报告摘要:
We consider generalized Nash equilibrium problems (GNEPs) given by polynomial functions. Based on the Karush-Kuhn-Tucker optimality conditions, we formulate polynomial optimization problems for finding candidate solutions to GNEPs, using Lagrange multiplier expressions. Then, for nonconvex GNEPs, we introduce the feasible extensions to preclude KKT points that are not solutions to the GNEP. Following this sequel, we are able to find a GNE if there exists any, or detect the nonexistence of GNEs. We showed that our approach guarantees to solve the GNEP within finitely many steps under generic assumptions. Particularly, for GNEPs given by quasi-linear constraints, we proposed a new method for finding solutions using partial Lagrange multiplier expressions.
报告人介绍:
唐新东,目前于香港浸会大学任助理教授,2021年于加州大学圣地亚哥分校取得博士学位,主要从事多项式优化、广义纳什均衡问题、张量计算及其应用等方面的工作,多次获香港RGC和国家自然科学基金委资助,并获得香港浸会大学理学院Excellent Research Paper Award。
