摘要
研究了带箱约束混合二次规划问题的全局最优性条件,利用全局次微分(L-次微分)方法。建立了带箱约束混合二次规划问题的全局最优性的一个充分条件.
A class of constrained optimization problem with quadratic objective function and box constraints is studied.Using of a new approach which makes use of a global sub-differential (L-sub-differential),and explicit descriptions for quadratic functions,a sufficient condition to characterize a local optimal solution to be global is established.
出处
《兰州大学学报（自然科学版）》
CAS
CSCD
北大核心
2008年第S1期166-168,共3页
Journal of Lanzhou University(Natural Sciences)
关键词
非凸二次规划
L-次微分
全局优化条件
non-convex quadratic programming
L-sub-differential
global optimality condition
