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|metadata.conference.dc.title:||Global Convergence of a New Coefficient Nonlinear Conjugate Gradient Method|
|metadata.conference.dc.contributor.*:||Nur Syarafina Mohamed|
Shazlyn Milleana Shaharuddin.
|metadata.conference.dc.subject:||Conjugate Gradient Method|
Strong Wolfe-Powell Line search
|metadata.conference.dc.relation.ispartofseries:||Vol. 5, No. 3, March 2017, pp. 401 ~ 408;|
|metadata.conference.dc.description.abstract:||Nonlinear conjugate gradient (CG) methods are widely used in optimization field due to its efficiency for solving a large scale unconstrained optimization problems. Many studies and modifications have been developed in order to improve the method. The method is known to possess sufficient descend condition and its global convergence properties under strong Wolfe-Powell search direction. In this paper, the new coefficient of CG method is presented. The global convergence and sufficient descend properties of the new coefficient are established by using strong Wolfe-Powell line search direction. Results show that the new coefficient is able to globally converge under certain assumptions and theories.|
|metadata.conference.dc.description:||Venue: Avillion Legacy Melaka|
|metadata.conference.dc.conference.name:||INTERNATIONAL CONFERENCE ON ADVANCEMENT IN COMPUTING AND INFORMATION SYSTEM (KADCIS 2018)|
|Appears in Collections:||Conference Papers|
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