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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/2039
DC FieldValueLanguage
dc.contributor.authorOsman W.F.H.W.en_US
dc.contributor.authorMamat M.,en_US
dc.contributor.authorIbrahim M.A.H.en_US
dc.date.accessioned2021-12-15T04:22:00Z-
dc.date.available2021-12-15T04:22:00Z-
dc.date.issued2021-06-
dc.identifier.issn17426588-
dc.identifier.urihttp://hdl.handle.net/123456789/2039-
dc.descriptionScopusen_US
dc.description.abstractConjugate gradient method and quasi-Newton (QN) method are both well known solvers for solving unconstrained optimization problems. In this paper, we proposed a new conjugate gradient method denoted as Wan, Asrul and Mustafa (WAM) method. This WAM method is then combined with the QN method to produce a new hybrid search direction which is QN-WAM. Based on numerical results, the proposed hybrid method proved to be more efficient compared to the original quasi-Newton method and other hybrid methods.en_US
dc.language.isoenen_US
dc.publisherIOP Publishing Ltden_US
dc.subjectNewton-Raphson methoden_US
dc.subjectNumerical methoden_US
dc.subjectOptimizationen_US
dc.subjectUnconstrained optimization problemsen_US
dc.subjectUnconstrained optimizationen_US
dc.subjectHybrid methoden_US
dc.titleNew hybrid BFGS-CG method for solving unconstrained optimizationen_US
dc.typeNationalen_US
dc.relation.conferenceJournal of Physics: Conference Seriesen_US
dc.identifier.doi10.1088/1742-6596/1874/1/012080-
dc.volume1874 (1)en_US
dc.relation.seminar1st International Recent Trends in Engineering, Advanced Computing and Technology Conference, RETREAT 2020en_US
dc.description.articleno012080en_US
dc.date.seminarstartdate2020-12-01-
dc.date.seminarenddate2020-12-03-
dc.description.placeofseminarParis, Virtualen_US
dc.description.typeIndexed Proceedingsen_US
item.languageiso639-1en-
item.fulltextWith Fulltext-
item.grantfulltextopen-
item.openairetypeNational-
crisitem.author.deptUniversiti Malaysia Kelantan-
crisitem.author.orcidhttps://orcid.org/0000-0003-4381-5851-
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