Conjugated Gradient with Four Terms for Nonlinear Unconstrained Optimization
Author
Source
General Letters in Mathematics
Issue
Vol. 12, Issue 1 (31 Mar. 2022), pp.40-48, 9 p.
Publisher
Refaad Center for Studies and Research
Publication Date
2022-03-31
Country of Publication
Jordan
No. of Pages
9
Main Subjects
Abstract EN
The nonlinear conjugate gradient (GJG) technique is an effective tool for addressing minimization on a huge scale.
It can be used in a variety of applications., We presented a novel conjugate gradient approach based on two hypotheses, and we equalized the two hypotheses and retrieved the good parameter in this article.
To get a new conjugated gradient, we multiplied the new parameter by a control parameter andsubstituted it in the second equation.
a fresh equation for is proposed.
It has global convergence qualities.
When compared to the two most common conjugate gradient techniques, our algorithm outperforms them in terms of both the number of iterations (NOIS) and the number of functions (NOFS).
The new technique is efficient in real computing and superior to previous comparable approaches in many instances, according to numerical results.
American Psychological Association (APA)
Ahmed Anwer Mustafa. 2022. Conjugated Gradient with Four Terms for Nonlinear Unconstrained Optimization. General Letters in Mathematics،Vol. 12, no. 1, pp.40-48.
https://search.emarefa.net/detail/BIM-1430466
Modern Language Association (MLA)
Ahmed Anwer Mustafa. Conjugated Gradient with Four Terms for Nonlinear Unconstrained Optimization. General Letters in Mathematics Vol. 12, no. 1 (2022), pp.40-48.
https://search.emarefa.net/detail/BIM-1430466
American Medical Association (AMA)
Ahmed Anwer Mustafa. Conjugated Gradient with Four Terms for Nonlinear Unconstrained Optimization. General Letters in Mathematics. 2022. Vol. 12, no. 1, pp.40-48.
https://search.emarefa.net/detail/BIM-1430466
Data Type
Journal Articles
Language
English
Notes
Text in English ; abstracts in .
Record ID
BIM-1430466