Résumé

It is well known that the hybrid conjugate gradient method plays a main role for solving large-scale minimization problems. In this paper, we propose a new new hybrid DY and HS conjugate gradient method. Dai and Yuan developed a conjugate gradient method, which has good numerical performance and global convergence result under line searches such as Wolfe and strong Wolfe line search .
Recently, we propose a modification of the Dai--Yuan conjugate gradient algorithm, which produces a descent search direction at every iteration and converges globally provided that the line search satisfies the weak Wolfe conditions.

Information

Item Type:	Conference
Divisions:	» Laboratoire d’Informatique et Mathématiques » Faculté des Sciences et de la Technologie
ePrint ID:	134
Date Deposited:	2014-11-22
Further Information:	Google Scholar
URI:	https://www.univ-soukahras.dz/fr/publication/article/134

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