New conjugacy condition with pair-conjugate gradient methods for unconstrained optimization

Conjugate gradient methods are wildly used for unconstrained optimization especially when the dimension is large. In this paper we propose a new kind of nonlinear conjugate gradient methods which on the study of Dai and Liao (2001), the new idea is how to use the pair conjugate gradient method with...

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Main Authors: Abbas Al-Bayati, Huda Ahmed
Format: Article
Language:Arabic
Published: Mosul University 2009-09-01
Series:Al-Rafidain Journal of Computer Sciences and Mathematics
Subjects:
Online Access:https://csmj.mosuljournals.com/article_163818_abe37be5528312a4ccb98eab5d28ecef.pdf
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author Abbas Al-Bayati
Huda Ahmed
author_facet Abbas Al-Bayati
Huda Ahmed
author_sort Abbas Al-Bayati
collection DOAJ
description Conjugate gradient methods are wildly used for unconstrained optimization especially when the dimension is large. In this paper we propose a new kind of nonlinear conjugate gradient methods which on the study of Dai and Liao (2001), the new idea is how to use the pair conjugate gradient method with this study (new cojugacy condition) which consider an inexact line search scheme but reduce to the old one if the line search is exact. Convergence analysis for this new method is provided. Our numerical results show that this new methods is very efficient for the given ten test function compared with other methods.
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spelling doaj.art-d77b7e44a4a444e98198098e7ed723dd2022-12-22T01:40:30ZaraMosul UniversityAl-Rafidain Journal of Computer Sciences and Mathematics1815-48162311-79902009-09-0163213510.33899/csmj.2009.163818163818New conjugacy condition with pair-conjugate gradient methods for unconstrained optimizationAbbas Al-Bayati0Huda Ahmed1College of Computer Sciences and Mathematics University of Mosul, Mosul, IraqCollege of Computer Sciences and Mathematics University of Mosul/IraqConjugate gradient methods are wildly used for unconstrained optimization especially when the dimension is large. In this paper we propose a new kind of nonlinear conjugate gradient methods which on the study of Dai and Liao (2001), the new idea is how to use the pair conjugate gradient method with this study (new cojugacy condition) which consider an inexact line search scheme but reduce to the old one if the line search is exact. Convergence analysis for this new method is provided. Our numerical results show that this new methods is very efficient for the given ten test function compared with other methods.https://csmj.mosuljournals.com/article_163818_abe37be5528312a4ccb98eab5d28ecef.pdfunconstrained optimizationconjugate gradient methods
spellingShingle Abbas Al-Bayati
Huda Ahmed
New conjugacy condition with pair-conjugate gradient methods for unconstrained optimization
Al-Rafidain Journal of Computer Sciences and Mathematics
unconstrained optimization
conjugate gradient methods
title New conjugacy condition with pair-conjugate gradient methods for unconstrained optimization
title_full New conjugacy condition with pair-conjugate gradient methods for unconstrained optimization
title_fullStr New conjugacy condition with pair-conjugate gradient methods for unconstrained optimization
title_full_unstemmed New conjugacy condition with pair-conjugate gradient methods for unconstrained optimization
title_short New conjugacy condition with pair-conjugate gradient methods for unconstrained optimization
title_sort new conjugacy condition with pair conjugate gradient methods for unconstrained optimization
topic unconstrained optimization
conjugate gradient methods
url https://csmj.mosuljournals.com/article_163818_abe37be5528312a4ccb98eab5d28ecef.pdf
work_keys_str_mv AT abbasalbayati newconjugacyconditionwithpairconjugategradientmethodsforunconstrainedoptimization
AT hudaahmed newconjugacyconditionwithpairconjugategradientmethodsforunconstrainedoptimization