In this paper, based on the three-term conjugate gradient method and the hybrid technique,
we propose a hybrid three-term conjugate gradient projection method by incorporating the …

Combining the projection method of Solodov and Svaiter with the Liu-Storey and Fletcher
Reeves conjugate gradient algorithm of Djordjević for unconstrained minimization problems …

In this paper, we present a projection method to solve monotone nonlinear equations with
convex constraints. This method can be viewed as an extension of CG_DESCENT method …

In this paper, based on the hybrid conjugate gradient method and the convex combination
technique, a new family of hybrid three-term conjugate gradient methods are proposed for …

In this paper, a derivative-free conjugate gradient method for solving nonlinear equations
with convex constraints is proposed. The proposed method can be viewed as an extension …

It is well known that the conjugate gradient algorithm is one of the most classic and useful
methods for solving large-scale optimization problems, where the Polak-Ribière-Polyak …

In this paper, a hybrid version of the Rivaie–Mustafa–Ismail–Leong, RMIL for short,
conjugate gradient method is proposed for unconstrained optimization problem. The search …

In recent years there is a vast application of conjugate gradient methods to restore the
disturbed signals in compressive sensing. This research aims at developing a scheme …

In this paper, based on the hyperplane projection technique, we propose a three-term
conjugate gradient method for solving nonlinear monotone equations with convex …

In this work, we provide a note on the spectral gradient projection method for solving
nonlinear equations. Motivated by recent extensions of the spectral gradient method for …