A new type of conjugate gradient method for unconstrained optimization problem

dc.contributor.author	Syazni Shoid
dc.date.accessioned	2016-11-19T03:33:05Z
dc.date.available	2016-11-19T03:33:05Z
dc.date.issued	2014-05
dc.identifier.uri	http://hdl.handle.net/123456789/4720
dc.description.abstract	Conjugate gradient (CG) methods are well known iterative method and have been widely used in unconstrained optimization studies. Numerous research and modifications on the problem of minimizing function of n variables have been done recently to improve this method.	en_US
dc.language.iso	en	en_US
dc.publisher	Terengganu: Universiti Malaysia Terengganu	en_US
dc.subject	QA 218 .S9 2014	en_US
dc.subject	Syazni Shoid	en_US
dc.subject	Tesis PPIMG 2014	en_US
dc.subject	Conjugate gradient methods	en_US
dc.title	A new type of conjugate gradient method for unconstrained optimization problem	en_US
dc.type	Thesis	en_US