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

Simple item page
dc.creatorAdeleke, O. J., Ajimoti, Adam, Aderemi, O. A.
dc.date2014
dc.date.accessioned2025-03-27T12:33:04Z
dc.descriptionThe 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.
dc.formatapplication/pdf
dc.identifierhttp://eprints.covenantuniversity.edu.ng/2924/
dc.identifier.urihttps://repository.covenantuniversity.edu.ng/handle/123456789/32122
dc.languageen
dc.subjectQA Mathematics, QA75 Electronic computers. Computer science
dc.titleA Test of Non-linear Conjugate Gradient Methods Via Exact Line Search
dc.typeArticle

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Adeleke 2.pdf
Size:
171.69 KB
Format:
Adobe Portable Document Format
Download

Collections

EPrint