Optimal hybrid BFGS-CG method for unconstrained optimization

Simple item page
dc.contributor.authorBamigbola, Olabode Matthias
dc.contributor.authorOkundalaye, Oluwaseun O.
dc.contributor.authorEjieji, Catherine N.
dc.date.accessioned2019-04-05T12:39:45Z
dc.date.available2019-04-05T12:39:45Z
dc.date.issued2018
dc.descriptionAsian Research Journal of Mathematics 9(1), 1-18en_US
dc.description.abstractIn solving unconstrained optimization problems, both quasi-Newton and conjugate gradient methods are known to be e cient methods. Hence, the optimal hybrid Broyden-Fletcher-Goldfarb-Shanno-Conjugate Gradient (OBFGS-CG) method is proposed in this work, which combines the strengths of both BFGS and CG methods. The optimal hybrid BFGS-CG method is based on an existing hybrid BFGS-CG method. The optimal BFGS-CG paramter, when utilised in solving unconstrained optimization problems, resulted in improvement in the total number of iterations and CPU time.en_US
dc.identifier.citationBamigbola, Okundalaye and Ejieji (2018)en_US
dc.identifier.issn2456-477X
dc.identifier.urihttp://hdl.handle.net/123456789/1715
dc.language.isoenen_US
dc.publisherScience Domainen_US
dc.subjectQuasi-Newtonen_US
dc.subjecthybrid BFGS-conjugate gradienten_US
dc.subjectOptimal methoden_US
dc.subjectUnconstrained optimizationen_US
dc.titleOptimal hybrid BFGS-CG method for unconstrained optimizationen_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Optimal hybrid BFGS-CG2018.pdf
Size:
494.79 KB
Format:
Adobe Portable Document Format
Description:
Main article
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.69 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections