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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Abashar, Abdelrhaman | - |
dc.date.accessioned | 2016-11-19T03:31:48Z | - |
dc.date.available | 2016-11-19T03:31:48Z | - |
dc.date.issued | 2014-08 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/4719 | - |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Terengganu: Universiti Malaysia Terengganu | en_US |
dc.subject | QA 218 .A2 2014 | en_US |
dc.subject | Abashar, Abdelrhaman | en_US |
dc.subject | Tesis PPIMG 2014 | en_US |
dc.subject | Conjugate gradient methods | en_US |
dc.title | A new type of conjugate gradient methods with sufficient descent property for unconstrained optimization | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | Pusat Pengajian Informatik dan Matematik Gunaan |
Files in This Item:
File | Description | Size | Format | |
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tesis QA 218 .A2 2014 Abstract.pdf | 794.66 kB | Adobe PDF | View/Open | |
tesis QA 218 .A2 2014 FullText.pdf Restricted Access | 22.64 MB | Adobe PDF | View/Open Request a copy |
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