A Descent Modification of Conjugate Gradient Method for Optimization Models

Authors

Ibrahim Mohammed Sulaiman Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Terengganu, Malaysia
Mustafa Mamat Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Terengganu, Malaysia
Kamilu Kamfa kano university of science and technology, Nigeria
Muktar Danlami Maitama Sule University Kano, Nigeria

DOI:

https://doi.org/10.24996/ijs.2020.61.7.23

Keywords:

Conjugate gradient parameter, exact minimization rule, Unconstrained Optimization, Sufficient descent property

Abstract

In this paper, we suggest a descent modification of the conjugate gradient method which converges globally provided that the exact minimization condition is satisfied. Preliminary numerical experiments on some benchmark problems show that the method is efficient and promising.

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Published

2020-07-29

Issue

Vol 61 No 7 (2020)

Section

Mathematics

How to Cite

A Descent Modification of Conjugate Gradient Method for Optimization Models. (2020). Iraqi Journal of Science, 61(7), 1745-1750. https://doi.org/10.24996/ijs.2020.61.7.23

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