Modification of Nonlinear Conjugate Gradient Method with Weak Wolfe-Powell Line Search
Joint Authors
Salleh, Zabidin
Alhawarat, Ahmad
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-05
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Alhawarat, Ahmad& Salleh, Zabidin. 2017. Modification of Nonlinear Conjugate Gradient Method with Weak Wolfe-Powell Line Search. Abstract and Applied Analysis،Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1120849
Modern Language Association (MLA)
Alhawarat, Ahmad& Salleh, Zabidin. Modification of Nonlinear Conjugate Gradient Method with Weak Wolfe-Powell Line Search. Abstract and Applied Analysis No. 2017 (2017), pp.1-6.
https://search.emarefa.net/detail/BIM-1120849
American Medical Association (AMA)
Alhawarat, Ahmad& Salleh, Zabidin. Modification of Nonlinear Conjugate Gradient Method with Weak Wolfe-Powell Line Search. Abstract and Applied Analysis. 2017. Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1120849
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1120849