Combining the projection method of Solodov and Svaiter with the Liu-Storey and Fletcher Reeves conjugate gradient algorithm of Djordjević for unconstrained minimization problems …
JK Liu, SJ Li - Computers & Mathematics with Applications, 2015 - Elsevier
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 …
X Jiang, W Liao, J Yin, J Jian - Numerical Algorithms, 2022 - Springer
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 …
G Yuan, J Lu, Z Wang - Applied Numerical Mathematics, 2020 - Elsevier
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 …
X Wu, H Shao, P Liu, Y Zhang, Y Zhuo - Journal of Computational and …, 2023 - Elsevier
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 …