Global convergence properties of a new class of conjugate gradient method for unconstrained optimization

Nonlinear conjugate gradient (CG) methods are widely used for solving large scale unconstrained optimization problems. Many studies have been devoted to modified and improve this method. In this paper, a new parameter of CG method that possesses global convergence properties using exact line sear...

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Main Authors:	Mustafa, Mamat, Abdelrahman, Abashar, Mohd Rivaie, Mohd Ali
Format:	Article
Language:	English
Published:	2014
Subjects:	QA Mathematics
Online Access:	http://eprints.unisza.edu.my/4301/1/FH02-FIK-14-00732.jpg http://eprints.unisza.edu.my/4301/
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Institution:	Universiti Sultan Zainal Abidin
Language:	English

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spelling	my-unisza-ir.43012022-09-13T04:57:38Z http://eprints.unisza.edu.my/4301/ Global convergence properties of a new class of conjugate gradient method for unconstrained optimization Mustafa, Mamat Abdelrahman, Abashar Mohd Rivaie, Mohd Ali QA Mathematics Nonlinear conjugate gradient (CG) methods are widely used for solving large scale unconstrained optimization problems. Many studies have been devoted to modified and improve this method. In this paper, a new parameter of CG method that possesses global convergence properties using exact line search is proposed. Numerical results show that the new formula is best and more efficient when compared with the other classical CG methods. 2014 Article PeerReviewed image en http://eprints.unisza.edu.my/4301/1/FH02-FIK-14-00732.jpg Mustafa, Mamat and Abdelrahman, Abashar and Mohd Rivaie, Mohd Ali (2014) Global convergence properties of a new class of conjugate gradient method for unconstrained optimization. Applied Mathematical Sciences, 8 (67). pp. 3307-3319. ISSN 13147552 [P]
institution	Universiti Sultan Zainal Abidin
building	UNISZA Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Sultan Zainal Abidin
content_source	UNISZA Institutional Repository
url_provider	https://eprints.unisza.edu.my/
language	English
topic	QA Mathematics
spellingShingle	QA Mathematics Mustafa, Mamat Abdelrahman, Abashar Mohd Rivaie, Mohd Ali Global convergence properties of a new class of conjugate gradient method for unconstrained optimization
description	Nonlinear conjugate gradient (CG) methods are widely used for solving large scale unconstrained optimization problems. Many studies have been devoted to modified and improve this method. In this paper, a new parameter of CG method that possesses global convergence properties using exact line search is proposed. Numerical results show that the new formula is best and more efficient when compared with the other classical CG methods.
format	Article
author	Mustafa, Mamat Abdelrahman, Abashar Mohd Rivaie, Mohd Ali
author_facet	Mustafa, Mamat Abdelrahman, Abashar Mohd Rivaie, Mohd Ali
author_sort	Mustafa, Mamat
title	Global convergence properties of a new class of conjugate gradient method for unconstrained optimization
title_short	Global convergence properties of a new class of conjugate gradient method for unconstrained optimization
title_full	Global convergence properties of a new class of conjugate gradient method for unconstrained optimization
title_fullStr	Global convergence properties of a new class of conjugate gradient method for unconstrained optimization
title_full_unstemmed	Global convergence properties of a new class of conjugate gradient method for unconstrained optimization
title_sort	global convergence properties of a new class of conjugate gradient method for unconstrained optimization
publishDate	2014
url	http://eprints.unisza.edu.my/4301/1/FH02-FIK-14-00732.jpg http://eprints.unisza.edu.my/4301/
_version_	1744358508185255936

Global convergence properties of a new class of conjugate gradient method for unconstrained optimization

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