Open Access
2017 Modification of Nonlinear Conjugate Gradient Method with Weak Wolfe-Powell Line Search
Ahmad Alhawarat, Zabidin Salleh
Abstr. Appl. Anal. 2017: 1-6 (2017). DOI: 10.1155/2017/7238134


Conjugate gradient (CG) method is used to find the optimum solution for the large scale unconstrained optimization problems. Based on its simple algorithm, low memory requirement, and the speed of obtaining the solution, this method is widely used in many fields, such as engineering, computer science, and medical science. In this paper, we modified CG method to achieve the global convergence with various line searches. In addition, it passes the sufficient descent condition without any line search. The numerical computations under weak Wolfe-Powell line search shows that the efficiency of the new method is superior to other conventional methods.


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Ahmad Alhawarat. Zabidin Salleh. "Modification of Nonlinear Conjugate Gradient Method with Weak Wolfe-Powell Line Search." Abstr. Appl. Anal. 2017 1 - 6, 2017.


Received: 21 November 2016; Revised: 5 February 2017; Accepted: 12 February 2017; Published: 2017
First available in Project Euclid: 12 April 2017

zbMATH: 06929565
MathSciNet: MR3625594
Digital Object Identifier: 10.1155/2017/7238134

Rights: Copyright © 2017 Hindawi

Vol.2017 • 2017
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