Abidin, Z.Z. and Aini, N. and Husin, S.F. and Rivaie, M and Mamat, M. (2018) Hybrid BFGS-ZMRI methods with global convergence properties. In: 25th National Symposium on Mathematical Sciences: Mathematical Sciences as the Core of Intellectual Excellence, SKSM 2017, 27-29 Aug 2017, Kuantan, Pahang.
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Abstract
In this paper, we focus on the steepest descent and quasi-Newton method in solving unconstrained optimization problem. Therefore, we develop a new search direction for hybrid BFGS-ZMRI method with global convergence properties. Based on the numerical result, our method shows significant improvement in the number of iteration and CPU time.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | BFGS, line search, Quasi-Newton, steepest descent, unconstrained optimization |
| Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Informatics & Computing |
| Depositing User: | Muhammad Akmal Azhar |
| Date Deposited: | 19 Nov 2020 04:57 |
| Last Modified: | 19 Nov 2020 04:59 |
| URI: | http://eprints.unisza.edu.my/id/eprint/1661 |
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