Efficient one-parameter family of conjugate gradient methods

被引：0

作者：

Khelladi, Samia ^{[1
]}

Benterki, Djamel ^{[1
]}

机构：

[1] Univ Setif 1, Fac Sci, Lab Fundamental & Numer Math LMFN, Ferhat Abbas 19000, Algeria

来源：

JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES | 2024年 / 45卷 / 03期

关键词：

Unconstrained optimization; Global convergence; Conjugate gradient methods; Line search; CONVERGENCE;

D O I：

10.47974/JIOS-1354

中图分类号：

G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];

学科分类号：

1205 ; 120501 ;

摘要：

We present an efficient one-parameter family of conjugate gradient methods for unconstrained optimization problems. These methods are defined using a combination of the Polak-Ribiere-Polyak method and the Rivaie-Mustafa-Ismail-Leong method. We prove the global convergence based on the Wolfe line search for nonlinear objective functions. Finally, we give some numerical experiments, proving the efficiency of the proposed approach.

引用

页码：699 / 715

页数：17

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