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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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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
score 13.214268

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