Global convergence properties of a new class of conjugate gradient method for unconstrained optimization

Mustafa, Mamat and Abdelrahman, Abashar and Mohd Rivaie, Mohd Ali (2014) Global convergence properties of a new class of conjugate gradient method for unconstrained optimization. Applied Mathematical Sciences, 8 (67). pp. 3307-3319. ISSN 13147552 [P]

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Abstract

Nonlinear conjugate gradient (CG) methods are widely used for solving large scale unconstrained optimization problems. Many studies have been devoted to modified and improve this method. In this paper, a new parameter of CG method that possesses global convergence properties using exact line search is proposed. Numerical results show that the new formula is best and more efficient when compared with the other classical CG methods.

Item Type: Article
Uncontrolled Keywords: Conjugate gradient, exact line search, global convergence
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Informatics & Computing
Depositing User: Syahmi Manaf
Date Deposited: 13 Sep 2022 04:57
Last Modified: 13 Sep 2022 04:57
URI: http://eprints.unisza.edu.my/id/eprint/4301

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