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利用Armijo型线性搜索HZ共轭梯度法的全局收敛性
引用本文:魏敬广,张建军.利用Armijo型线性搜索HZ共轭梯度法的全局收敛性[J].运筹学学报,2011,15(1):85-94.
作者姓名:魏敬广  张建军
作者单位:上海大学数学系,上海,200444
基金项目:supported by the Innovation Foundation of Shanghai University(Grant No.A.16-0101-10-031); Shanghai Leading Academic Discipline project(Grant No.J5101)
摘    要:由William W.Hager和张洪超提出的一种新的共轭梯度法(简称HZ方法),已被证明是一种有效的方法.本文证明了HZ共轭梯度法在Armijo型线性搜索下的全局收敛性.数值实验显示,在Armijo型线性搜索下的HZ共轭梯度法比在Wolfe线性搜索下更有效.

关 键 词:运筹学  共轭梯度法  全局收敛性  线性搜索  无约束最优化

Global Convergence of HZ's Conjugate Gradient Method with Armijo-type Line Search
Wei Jingguang,Zhang Jianjun.Global Convergence of HZ's Conjugate Gradient Method with Armijo-type Line Search[J].OR Transactions,2011,15(1):85-94.
Authors:Wei Jingguang  Zhang Jianjun
Institution:Wei Jingguang Zhang Jianjun Department of Mathematics,Shanghai University,Shanghai 200444,China
Abstract:HZ's conjugate gradient method(proposed by William W.Hager and Hongchao Zhang) has been proved to be an efficient method.In this paper, we prove the global convergence of HZ's method with Armijo-type line search. Our numerical experiments show that the new algorithm are more efficient and competitive with HZ's method with Wolfe line search in most cases.
Keywords:Operations research  conjugate gradient method  global convergence  line search  unconstrained optimization  
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