Résumé

The conjugate gradient method is a useful and powerful approach for solving
large-scale minimization problems. 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 modiÖcation of the Daiñ Yuan
conjugate gradient algorithm, which produces a descent search direction at every iteration
and converges globally provided that the line search satisÖes the weak Wolfe conditions.

Information

Item Type:	Conference
Divisions:	» Faculté des Sciences et de la Technologie
ePrint ID:	135
Date Deposited:	2014-11-22
Further Information:	Google Scholar
URI:	https://www.univ-soukahras.dz/fr/publication/article/135

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