摘要
该文在函数不一定下半连续,集合不一定闭的情形下,利用凸化技术,定义了DC复合优化问题的对偶问题,建立了DC复合优化问题的最优性条件和最优解的鞍点刻画,推广了已有的相关结论.
In the case when the functions are not necessarily lower semicontinuous and the sets are not necessarily closed,we first define the dual problem for DC composite optimization problems with conical constraints by using convexification technique,then some optimality conditions and saddle point theorems are obtained,which extend the corresponding results in the previous papers.
作者
胡玲莉
田利萍
方东辉
Hu Lingli;Tian Liping;Fang Donghui(College of Mathematics and Statistics,Jishou University,Hunan Jishou 416000)
出处
《数学物理学报(A辑)》
CSCD
北大核心
2021年第4期1079-1087,共9页
Acta Mathematica Scientia
基金
国家自然科学基金(11861033)
湖南省自然科学基金(2020JJ4494)
吉首大学科研基金(Jd20008,Jd20009)。
关键词
DC复合优化问题
最优性条件
鞍点定理
DC composite optimization problem
Optimality condition
Saddle point theorem