首页 | 本学科首页   官方微博 | 高级检索  
     检索      


A variant of SQP method for inequality constrained optimization and its global convergence
Institution:1. School of Science, Xian Jiaotong University, Xian, Shanxi 710049, PR China;2. School of Mathematics and Information Science, Guangxi University, Guangxi 530004, PR China
Abstract:In this paper, a variant of SQP method for solving inequality constrained optimization is presented. This method uses a modified QP subproblem to generate a descent direction as each iteration and can overcome the possible difficulties that the QP subproblem of the standard SQP method is inconsistency. Furthermore, the method can start with an infeasible initial point. Under mild conditions, we prove that the algorithm either terminates as KKT point within finite steps or generates an infinite sequence whose accumulation point is a KKT point or satisfies certain first-order necessary condition. Finally, preliminary numerical results are reported.
Keywords:
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号