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A Test of Non-linear Conjugate Gradient Methods Via Exact Line Search

Adeleke, O. J. and Ajimoti, Adam and Aderemi, O. A. (2014) A Test of Non-linear Conjugate Gradient Methods Via Exact Line Search. A Test of Non-linear Conjugate Gradient Methods Via Exact Line Search. pp. 1-11.

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Abstract

The conjugate gradient method provides a very powerful tool for solving unconstrained optimization problems. In this paper the non-linear conjugate gradient methods are tested using some benchmark non-polynomial unconstrained optimization functions. The task was accomplished by finding the exact values of the descent also known as the minimizing argument or rather the minimizer in each method. Findings also show that the basic requirement for exact convergence was satisfied by all the methods.

Item Type: Article
Uncontrolled Keywords: Line Search, non-polynomial functions, unconstrained optimization, non-linear conjugate gradient methods, step length, search direction, descent direction.
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Mr Solomon Bayoko
Date Deposited: 07 Nov 2014 10:02
Last Modified: 14 Sep 2015 13:24
URI: http://eprints.covenantuniversity.edu.ng/id/eprint/2924

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