New conjugate gradient methods for solving large-scale unconstrained optimization problems

Conjugate 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 optimiz...

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Main Author:	Mohd Rivaie Mohd Ali
Format:	Thesis
Language:	English
Published:	Terengganu: Universiti Malaysia Terengganu 2014
Subjects:	QA 218 .M62 2013 Mohd Rivaie Mohd Ali Tesis FST 2013 Conjugate gradient methods
Online Access:	http://dspace.psnz.umt.edu.my/xmlui/handle/123456789/3033
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Institution:	Universiti Malaysia Terengganu
Language:	English

id	my.umt.ir-3033
record_format	eprints
spelling	my.umt.ir-30332014-05-18T07:21:06Z New conjugate gradient methods for solving large-scale unconstrained optimization problems Mohd Rivaie Mohd Ali QA 218 .M62 2013 Mohd Rivaie Mohd Ali Tesis FST 2013 Conjugate gradient methods Conjugate 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. 2014-05-18T07:21:06Z 2014-05-18T07:21:06Z 2013-01 Thesis http://dspace.psnz.umt.edu.my/xmlui/handle/123456789/3033 en application/pdf application/pdf Terengganu: Universiti Malaysia Terengganu
institution	Universiti Malaysia Terengganu
building	Perpustakaan Sultanah Nur Zahirah
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Terengganu
content_source	UMT-IR
url_provider	http://umt-ir.umt.edu.my:8080/
language	English
topic	QA 218 .M62 2013 Mohd Rivaie Mohd Ali Tesis FST 2013 Conjugate gradient methods
spellingShingle	QA 218 .M62 2013 Mohd Rivaie Mohd Ali Tesis FST 2013 Conjugate gradient methods Mohd Rivaie Mohd Ali New conjugate gradient methods for solving large-scale unconstrained optimization problems
description	Conjugate 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.
format	Thesis
author	Mohd Rivaie Mohd Ali
author_facet	Mohd Rivaie Mohd Ali
author_sort	Mohd Rivaie Mohd Ali
title	New conjugate gradient methods for solving large-scale unconstrained optimization problems
title_short	New conjugate gradient methods for solving large-scale unconstrained optimization problems
title_full	New conjugate gradient methods for solving large-scale unconstrained optimization problems
title_fullStr	New conjugate gradient methods for solving large-scale unconstrained optimization problems
title_full_unstemmed	New conjugate gradient methods for solving large-scale unconstrained optimization problems
title_sort	new conjugate gradient methods for solving large-scale unconstrained optimization problems
publisher	Terengganu: Universiti Malaysia Terengganu
publishDate	2014
url	http://dspace.psnz.umt.edu.my/xmlui/handle/123456789/3033
_version_	1738395525924782080

New conjugate gradient methods for solving large-scale unconstrained optimization problems

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