Work

Global convergence of new conjugate gradient method with inexact line search

Year: 2021

Type: article

Abstract: In this paper, We propose a new nonlinear conjugate gradient method (FRA) that satisfies a sufficient descent condition and global convergence under the inexact line search of strong wolf powell. Our numerical experiment shaw the efficiency of the new method in solving a set of problems from the CUTEst package, the proposed new formula gives excellent numerical results at CPU time, number of iterations, number of gradient ratings when compared to WYL, DY, PRP, and FR methods.

Source: International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering

DOI: 10.11591/ijece.v11i2.pp1469-1475

Authors: Chergui Ahmed, Bouali Tahar

Institution: Université Larbi Tébessi

Language: English

Topic: Advanced Optimization Algorithms Research

Subfield: Numerical Analysis

Field: Mathematics

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W3096592575

FWCI: 0.199

Cites: 21

Cited by: 1

Related to: 10