检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:JIAO Bao Cong YU Jing Jing CHEN Lan Ping
机构地区:[1]School of Mathematical Sciences, Capital Normal University, Beijing 100037, China [2]Department of Electrical Engineering, Qingdao Harbor Vocational Technology College, Shandong 266404, China
出 处:《Journal of Mathematical Research and Exposition》2009年第3期423-433,共11页数学研究与评论(英文版)
基 金:Foundation item: the National Natural Science Foundation of China (No. 60472071); the Science Foundation of Beijing Municipal Commission of Education (No. KM200710028001).
摘 要:In this paper, a new class of memoryless non-quasi-Newton method for solving unconstrained optimization problems is proposed, and the global convergence of this method with inexact line search is proved. Furthermore, we propose a hybrid method that mixes both the memoryless non-quasi-Newton method and the memoryless Perry-Shanno quasi-Newton method. The global convergence of this hybrid memoryless method is proved under mild assumptions. The initial results show that these new methods are efficient for the given test problems. Especially the memoryless non-quasi-Newton method requires little storage and computation, so it is able to efficiently solve large scale optimization problems.In this paper,a new class of memoryless non-quasi-Newton method for solving unconstrained optimization problems is proposed,and the global convergence of this method with inexact line search is proved.Furthermore,we propose a hybrid method that mixes both the memoryless non-quasi-Newton method and the memoryless Perry-Shanno quasi-Newton method.The global convergence of this hybrid memoryless method is proved under mild assumptions.The initial results show that these new methods are effcient for the given test problems.Especially the memoryless non-quasi-Newton method requires little storage and computation,so it is able to effciently solve large scale optimization problems.
关 键 词:memoryless non-quasi-Newton method Wolfe line search global convergence.
分 类 号:O221.2[理学—运筹学与控制论] O224[理学—数学]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.222