数学科学学院学术报告[2025] 144号

(高水平大学建设系列报告1245号)

报告题目: A first-order augmented Lagrangian method for constrained minimax optimization.

报告人：梅三友

报告时间：2025年12月9日上午10:00-11:00

讲座地点：深圳大学粤海校区汇星楼514

报告内容：In this talk, we explore a class of constrained minimax optimization problems. We introduce a first-order augmented Lagrangian method tailored to solve them efficiently. Notably, each subproblem reduces to a more structured and tractable minimax formulation, which can be effectively addressed using a specialized first-order algorithm developed in our work. Under mild assumptions, we establish the iteration complexity of the proposed method and further enhance its performance by exploiting potential strong concavity in the objective functions.

报告人简历： Sanyou Mei is an Assistant Professor in the Department of Industrial Engineering and Decision Analytics (IEDA) at the Hong Kong University of Science and Technology. He received his Ph.D. in Industrial Engineering from the University of Minnesota, under the supervision of Professor Zhaosong Lu. Prior to that, he earned a B.S. degree in Mathematics and Applied Mathematics from the School of the Gifted Young at the University of Science and Technology of China.

欢迎师生参加！

邀请人：涂凯

数学科学学院

2025年12月5日