Acceleration of the convergence of the gradient method by using the conjugate gradient

dc.contributor.author	BAHI, Amina
dc.date.accessioned	2024-10-21T10:43:45Z
dc.date.available	2024-10-21T10:43:45Z
dc.date.issued	2024-06-09
dc.identifier.uri	http//localhost:8080/jspui/handle/123456789/12140
dc.description.abstract	The conjugate gradient method is considered one of the most important methods used to speed up the gradient algorithm, for this purpose, several related algorithms have been developed. We will present a new method that accelerates the convergence of the gradient method (the higher slope method) using a new version of the conjugate gradient and a powerful non-exact linear Wolf search. It will be shown that this algorithm generates descent trends and converges globally.	en_US
dc.language.iso	en	en_US
dc.publisher	University Larbi Tébessi – Tébessa	en_US
dc.subject	examples without restrictions, gradient method, algorithm, general convergence, linear search, imprecise linear search,gradient method, conjugate gradient method.	en_US
dc.title	Acceleration of the convergence of the gradient method by using the conjugate gradient	en_US
dc.type	Thesis	en_US