New Quasi-Newton (Dfp) With Logistic Mapping
Article Sidebar
Submitted
September 27, 2018
Published
June 30, 2016
Keywords:
-
Unconstrained optimization, Quasi-Newton methods, DFP method, Logistic mapping
Abstract
In this paper, we propose a modification of the self-scaling quasi-Newton (DFP) method for unconstrained optimization using logistic mapping. We shoe that it produces a positive definite matrix. Numerical results demonstrate that the new algorithm is superior to standard DFP method with respect to the NOI and NOF.
Full text article
Generated from XML file
References
Authors
Shareef, S. G., & Fathi, B. G. (2016). New Quasi-Newton (Dfp) With Logistic Mapping. Science Journal of University of Zakho, 4(1), 115-120. https://sjuoz.uoz.edu.krd/index.php/sjuoz/article/view/312
Copyright (c) 2016 Salah G. Shareef, Bayda G. Fathi
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License [CC BY-NC-SA 4.0] that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work, with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online.
Article Details
How to Cite
Shareef, S. G., & Fathi, B. G. (2016). New Quasi-Newton (Dfp) With Logistic Mapping. Science Journal of University of Zakho, 4(1), 115-120. https://sjuoz.uoz.edu.krd/index.php/sjuoz/article/view/312