Conjugate Gradient Methods with Armijo-type Line Searches

被引：0
作者：
Yu-Hong DAIState Key Laboratory of Scientific and Engineering Computing
机构：
来源：
Acta Mathematicae Applicatae Sinica | 2002年 / 01期
基金：
中国国家自然科学基金;
关键词：
Unconstrained optimization; conjugate gradient method; line search; global convergence;
D O I：
暂无
中图分类号：
O224 [最优化的数学理论];
学科分类号：
070105 ; 1201 ;
摘要：
Abstract Two Armijo-type line searches are proposed in this paper for nonlinear conjugate gradient methods.Under these line searches, global convergence results are established for several famous conjugate gradientmethods, including the Fletcher-Reeves method, the Polak-Ribiere-Polyak method, and the conjugate descentmethod.
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页码：123 / 130
页数：8
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