In this paper, an efficient algorithm for solving minimax optimization problem is proposed. It belongs to the sequential quadratic programming method. The algorithm is globally convergent and superlinearly convergent. Some numerical experiments suggest that the practical efficiency of the methods is related to these theoretical results.
Yi XUE. , {{custom_author.name_en}}.
THE SEQUENTIAL QUADRATIC PROGRAMMING METHOD FOR SOLVING MINIMAX PROBLEM. Journal of Systems Science and Mathematical Sciences, 2002, 22(3): 355-364 https://doi.org/10.12341/jssms09643