Ghani, N.H.A. and Rivaie, M and Mamat, M. (2016) A modified form of conjugate gradient method for unconstrained optimization problems. In: 2nd International Conference on Mathematical Sciences and Statistics: Innovations Through Mathematical and Statistical Research, ICMSS 2016, 26-28 Jan 2016, Kuala Lumpur.
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Abstract
Conjugate gradient (CG) methods have been recognized as an interesting technique to solve optimization problems, due to the numerical efficiency, simplicity and low memory requirements. In this paper, we propose a new CG method based on the study of Rivaie et al. [7] (Comparative study of conjugate gradient coefficient for unconstrained Optimization, Aus. J. Bas. Appl. Sci. 5(2011) 947-951). Then, we show that our method satisfies sufficient descent condition and converges globally with exact line search. Numerical results show that our proposed method is efficient for given standard test problems, compare to other existing CG methods.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics |
| Divisions: | Faculty of Informatics & Computing |
| Depositing User: | Muhammad Akmal Azhar |
| Date Deposited: | 09 Nov 2020 06:55 |
| Last Modified: | 09 Nov 2020 06:55 |
| URI: | http://eprints.unisza.edu.my/id/eprint/1109 |
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