New Parameter of CG-Method for Unconstrained Optimization

Section: Research Paper
Issue
Vol. 13 No. 1 (2019): Volume 13 Issue 1
Published
Jun 5, 2019
Pages
22-31

Abstract

In this paper, we derived a new parameter by equating the modified QN direction which is suggested by [7] and the standard CG method which satisfied the sufficient descent condition and the global convergence under some assumptions. The numerical experiment of the new algorithm perform better than previous standard algorithm depending on the number of calling the function (NOF) and number of iterations (NOI).

Authors

Hamsa Th. Chilmeran

Department of Mathematics College of Computer Science and Mathematics

Satia A. Al-Taie

Computer Center

Enaam Gh. Saeed

Identifiers

https://doi.org/10.33899/csmj.2020.163500%20
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How to Cite

Th. Chilmeran, H., A. Al-Taie, S., & Gh. Saeed, E. (2019). New Parameter of CG-Method for Unconstrained Optimization. AL-Rafidain Journal of Computer Sciences and Mathematics, 13(1), 22–31. https://doi.org/10.33899/csmj.2020.163500
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