A modification of classical conjugate gradient method using strong Wolfe line search

Mustafa, M. and Shoid, S. and Rivaie, M and Mamat, M. (2016) A modification of classical conjugate gradient method using strong Wolfe 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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Abstract

Recently many researches try to develop and improve the Conjugate Gradient (CG) methods because of its convergence properties and low computation costing. In this paper, another CG coefficient (βk) will be proposed which is categorized as modification in such a way to improve the performance of the classical CG methods. This paper is focused on generating βk with several desirable properties: (1) generate descent search direction at each iterations; and (2) converge globally by using strong Wolfe line search. Numerical comparisons of three CG methods show the robustness and the efficiency of the new method in solving all given problems.

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 06:40
Last Modified: 09 Nov 2020 06:40
URI: http://eprints.unisza.edu.my/id/eprint/1101

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