The most important advantage of conjugate gradient methods (CGs) is that these methods
have low memory requirements and convergence speed. This paper contains two main …

In this paper, we derived a modified conjugate gradient (CG) parameter by adopting the
Birgin and Mart i´ nez strategy using the descent three-term CG direction and the Newton …

In this paper, a new adaptive Levenberg–Marquardt method is proposed to solve the
nonlinear equations including supply chain optimization problems. We present a new …

In this article, we proposed a new modified conjugate gradient (CG) parameter via the
parallelization of the CG and the quasi-Newton methods. The proposed CG parameter is …

In this study, we propose a new modified hybrid conjugate gradient projection method with a
new scale parameter φk for solving large‐scale nonlinear monotone equations. The …

The most important advantage of conjugate gradient methods (CGs) is that these methods
have low memory requirements and convergence speed. This paper contains two main …

L'objectif de cette thèse est de traiter la problématique" Quelle est la meilleure condition de
conjugaison? Afin d'y apporter une réponse, même partielle. Dans ce contexte, nous …