Mustafa, Mamat and Mohamed, Hamoda and Mohd, Rivaie (2015) A New Nonlinear Conjugate Gradient Coefficient for Unconstrained Optimization. Applied Mathematical Sciences, 9 (37). pp. 1813-1822. ISSN 0066-5452 [P]
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Abstract
In this paper, we suggest a new nonlinear conjugate gradient method for solving large scale unconstrained optimization problems. We prove that the new conjugate gradient coefficient β k with exact line search is globally convergent. Preliminary numerical results with a set of 116 unconstrained optimization problems show that β k is very promising and efficient when compared to the other conjugate gradient coefficients Fletcher - Reeves (FR) and Polak -Ribiere – Polyak (PRP).
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Conjugate gradient coefficient, exact line search, global convergence, large scale, unconstrained optimization |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Informatics & Computing |
| Depositing User: | Syahmi Manaf |
| Date Deposited: | 13 Sep 2022 05:18 |
| Last Modified: | 13 Sep 2022 05:18 |
| URI: | http://eprints.unisza.edu.my/id/eprint/6232 |
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