%0 Journal Article
%T A CLASS OF SUPERLINEARLY CONVERCENT PROJECTION QUASI-NEWTON ALGORITHMS<br>一族超线性收敛的投影拟牛顿算法
%A JIAN JIN-BAO
%A LAI YAN-LIAN
%A <br>简金宝
%J 系统科学与数学
%D 1996
%I 
%X in this paper, we will give a class of algorithms containning two group parameters for noallnear progranuliing problems with linear constraints by combining the gradient projection with quasi-Newton method. Its global convergence and the superlinear convergence of its some subclass are proved under suitable conditions, and some special examples of the algorithm are given, such as DFP projection method, BFGS projection method and so on.
%K Nonlinear programming
%K gradient projection
%K quasi-Newton method
%K global and superlinearly convergence<br>非线性规划，梯度投影，拟牛顿法，全局和超线性收敛
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=37F46C35E03B4B86&jid=0CD45CC5E994895A7F41A783D4235EC2&aid=49C50C2B786D878AA5955E1533479A4C&yid=8A15F8B0AA0E5323&vid=7801E6FC5AE9020C&iid=0B39A22176CE99FB&sid=03F1579EF92A5A32&eid=4BB057F167CF3A60&journal_id=1000-0577&journal_name=系统科学与数学&referenced_num=5&reference_num=0