A New Simple Conjugate Gradient Coefficient for Unconstrained Optimization

Mustafa, Mamat and Norrlaili, Shapiee and Mohd Rivaie, Mohd Ali (2015) A New Simple Conjugate Gradient Coefficient for Unconstrained Optimization. Applied Mathematical Sciences, 9 (63). pp. 3119-3130. ISSN 0066-5452 [P]

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Abstract

Conjugate gradient (CG) methods are important in solving unconstrained optimization especially for large-scale unconstrained optimization. In this paper, we proposed a new simple CG coefficient. The global convergence result is established by using exact line search. Numerical results based on number of iterations and CPU time. Numerical result shows that our method is efficient when compared to the other CG coefficients for a given standard test problems.

Item Type: Article
Uncontrolled Keywords: Conjugate gradient method, conjugate gradient coefficient, exact line search, global convergence
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Informatics & Computing
Depositing User: Syahmi Manaf
Date Deposited: 13 Sep 2022 05:18
Last Modified: 13 Sep 2022 05:18
URI: http://eprints.unisza.edu.my/id/eprint/6235

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