Mustafa, Mamat and Sulaiman, I.M and Sukono, . and Supian, S. (2019) New class of hybrid conjugate gradient coefficients with guaranteed descent and efficient line search. In: 7th International Conference on Global Optimization and Its Application 2018, 31 August 2018, Bali; India.
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Abstract
Hybrid conjugate gradient (CG) techniques are one of the most prominent procedure for obtaining the solution of large-scale unconstrained optimization problems. This is due to its simplicity, global convergence, and low memory requirement. Numerous modifications have been done recently to improve the performance of these methods. In this paper, we proposed new class of hybrid CG coefficients with guaranteed descent under exact line search. Numerical results are presented to illustrate the efficiency of the proposed methodscompared to other classical CG coefficients.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Conjugate gradient coefficients, Exact line searches, Global conver-gence, Large scale unconstrained optimizations, Line searches, Low memory, Numerical results |
| Subjects: | Q Science > QA Mathematics |
| Divisions: | Faculty of Informatics & Computing |
| Depositing User: | Muhammad Akmal Azhar |
| Date Deposited: | 29 Nov 2020 02:24 |
| Last Modified: | 29 Nov 2020 02:24 |
| URI: | http://eprints.unisza.edu.my/id/eprint/2012 |
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