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


An active set limited memory BFGS algorithm for large-scale bound constrained optimization
Authors:Yunhai Xiao  Dong-Hui Li
Institution:(1) College of Mathematics and Econometrics, Hunan University, Changsha, 410082, People’s Republic of China;(2) Institute of Applied Mathematics, School of Mathematics and Information Science, Henan University, Kaifeng, 475000, People’s Republic of China
Abstract:An active set limited memory BFGS algorithm for large-scale bound constrained optimization is proposed. The active sets are estimated by an identification technique. The search direction is determined by a lower dimensional system of linear equations in free subspace. The implementations of the method on CUTE test problems are described, which show the efficiency of the proposed algorithm. The work was supported by the 973 project granted 2004CB719402 and the NSF project of China granted 10471036.
Keywords:Bound constrained problem  Limited memory BFGS method  Global convergence
本文献已被 SpringerLink 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