万仲平; 王先甲; 何炬林; 贾世会
Wan Zhongping; Wang Xianjia; He Julin; Jia Shihui
摘要:
The aim of this article is to discuss an asymptotic approximation model and its convergence for the minimax semi-infinite programming problem. An asymptotic surrogate constraints method for the minimax semi-infinite programming problem is presented by making use of two general discrete
approximation methods. Simultaneously, the consistence and the epi-convergence of the asymptotic approximation problem are discussed.
中图分类号: