A new coefficient of conjugate gradient methods for nonlinear unconstrained optimization

Mustafa, Mamat and Fatma Susilawati, Mohamad and Nur Syarafina, Mohamed (2016) A new coefficient of conjugate gradient methods for nonlinear unconstrained optimization. Jurnal Teknologi, 78 (6-4). pp. 131-136. ISSN 01279696

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Abstract

Conjugate gradient (CG) methods are widely used in solving nonlinear unconstrained optimization problems such as designs, economics, physics and engineering due to its low computational memory requirement. In this paper, a new modifications of CG coefficient (βk) which possessed global convergence properties is proposed by using exact line search. Based on the number of iterations and central processing unit (CPU) time, the numerical results show that the new βk performs better than some other well known CG methods under some standard test functions.

Item Type:	Article
Uncontrolled Keywords:	Conjugate gradient method, conjugate gradient coefficient, exact line search, global convergence, and unconstrained optimization
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Faculty of Informatics & Computing
Depositing User:	Syahmi Manaf
Date Deposited:	13 Sep 2022 05:51
Last Modified:	13 Sep 2022 05:51
URI:	http://eprints.unisza.edu.my/id/eprint/7479

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