A new type of descent conjugate gradient method with exact line search

Hajar, N. and Mamat, M. and Rivaie, M and Jusoh, I. (2016) A new type of descent conjugate gradient method with exact line search. 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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Nowadays, conjugate gradient (CG) methods are impressive for solving nonlinear unconstrained optimization problems. In this paper, a new CG method is proposed and analyzed. This new CG method satisfies descent condition and its global convergence is established using exact line search. Numerical results show that this new CG method substantially outperforms the previous CG methods. This new CG method is considered robust, efficient and provided faster and stable convergence.

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 06:52
Last Modified: 09 Nov 2020 06:52
URI: http://eprints.unisza.edu.my/id/eprint/1108

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