Mustafa, Mamat and Ibrahim Sulaiman, Mohammed and Abdelrahman, Abashar (2015) A Modified Nonlinear Conjugate Gradient Method for Unconstrained Optimization. Applied Mathematical Sciences, 9 (54). pp. 2671-2682. ISSN 0066-5452 [P]
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Abstract
Nonlinear conjugate gradient method holds an important role in solving large scale unconstrained optimization problems. Their simplicity, low memory requirement, and global convergence stimulated a massive study on the method. Numerous modifications have been done recently to improve its performance. In this paper, we proposed a new formula for the conjugate gradient coefficient k that generates the descent search direction. In addition, we establish the global convergence result under exact line search. The outcome of our numerical experiment show that the proposed formula is very efficient and more reliable when compare to other conjugate gradient methods.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Conjugate gradient; Global convergence; exact line search |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Informatics & Computing |
| Depositing User: | Syahmi Manaf |
| Date Deposited: | 13 Sep 2022 05:16 |
| Last Modified: | 13 Sep 2022 05:16 |
| URI: | http://eprints.unisza.edu.my/id/eprint/6249 |
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