Please use this identifier to cite or link to this item: http://umt-ir.umt.edu.my:8080/handle/123456789/4719
Title: A new type of conjugate gradient methods with sufficient descent property for unconstrained optimization
Authors: Abashar, Abdelrhaman
Keywords: QA 218 .A2 2014
Abashar, Abdelrhaman
Tesis PPIMG 2014
Conjugate gradient methods
Issue Date: Aug-2014
Publisher: Terengganu: Universiti Malaysia Terengganu
Abstract: Conjugate gradient methods (CG) have an important part in unconstrained optimizations. Numerous studies and modifications have been concerned to improve these methods. In this study, two modifications of the CG coefficient (Bk) are proposed in a way to solve unconstrained optimization problems using exact line searches and inexact line searches by employing strong Wolfe line search.
URI: http://hdl.handle.net/123456789/4719
Appears in Collections:Pusat Pengajian Informatik dan Matematik Gunaan

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