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dc.contributor.authorMohd Rivaie Mohd Ali-
dc.date.accessioned2014-05-18T07:21:06Z-
dc.date.available2014-05-18T07:21:06Z-
dc.date.issued2013-01-
dc.identifier.urihttp://dspace.psnz.umt.edu.my/xmlui/handle/123456789/3033-
dc.description.abstractConjugate gradient methods hold an important role in unconstrained optimizations. Numerous recent studies and modifications have been aimed to improve these methods. In this research, four modifications of the conjugate gradient coefficient (Bk ) are proposed in order to solve unconstrained optimization problems using exact line searches.en_US
dc.language.isoenen_US
dc.publisherTerengganu: Universiti Malaysia Terengganuen_US
dc.subjectQA 218 .M62 2013en_US
dc.subjectMohd Rivaie Mohd Alien_US
dc.subjectTesis FST 2013en_US
dc.subjectConjugate gradient methodsen_US
dc.titleNew conjugate gradient methods for solving large-scale unconstrained optimization problemsen_US
dc.typeThesisen_US
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