A combination of polak-ribiere and hestenes-steifel coefficient in conjugate gradient method for unconstrained optimization

Mustafa, Mamat and Mohd, Rivaie and Nurul Hajar, Mohd Yussoff (2015) A combination of polak-ribiere and hestenes-steifel coefficient in conjugate gradient method for unconstrained optimization. Applied Mathematical Sciences, 9 (61). pp. 3131-3142. ISSN 1312885X [P]

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Abstract

One of popular methods in solving unconstrained optimization method is conjugate gradient methods (CG). This paper presents a new CG method based on combination of two classical CG methods. Global convergence properties play the important part in CG methods. Numerical result show that this new CG method is quite effective when measured based on number of iteration and CPU times.

Item Type: Article
Uncontrolled Keywords: Conjugate gradient methods, global convergence properties, 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 05:46
Last Modified: 13 Sep 2022 05:46
URI: http://eprints.unisza.edu.my/id/eprint/6422

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