Investigation on Scaled CG-Type Algorithms for Unconstrained Optimization

In this paper, we describe two new algorithms which are modifications of the Hestens-stiefl CG-method. The first is the scaled CG-method (obtained from function and gradient-values) which improves the search direction by multiplying to a scalar obtained from function value and its gradient at two su...

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Main Authors: Abbas Al-Bayati, Khalil Abo, Salah Shareef
Format: Article
Language:Arabic
Published: Mosul University 2007-12-01
Series:Al-Rafidain Journal of Computer Sciences and Mathematics
Subjects:
Online Access:https://csmj.mosuljournals.com/article_164012_58a562e936c3acf404b04c7e7e893c56.pdf
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author Abbas Al-Bayati
Khalil Abo
Salah Shareef
author_facet Abbas Al-Bayati
Khalil Abo
Salah Shareef
author_sort Abbas Al-Bayati
collection DOAJ
description In this paper, we describe two new algorithms which are modifications of the Hestens-stiefl CG-method. The first is the scaled CG-method (obtained from function and gradient-values) which improves the search direction by multiplying to a scalar obtained from function value and its gradient at two successive points along the iterations. The second is the Preconditioned CG-method which uses an approximation at Hessein of the minimizing function. These algorithms are not sensitive to the line searches. Numerical experiments indicate that these new algorithms are effective and superior especially for increasing dimensionalities.
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spelling doaj.art-006656f5d15a4e2c9d52fca9a7dcf6742022-12-21T19:51:52ZaraMosul UniversityAl-Rafidain Journal of Computer Sciences and Mathematics1815-48162311-79902007-12-0142112310.33899/csmj.2007.164012164012Investigation on Scaled CG-Type Algorithms for Unconstrained OptimizationAbbas Al-Bayati0Khalil Abo1Salah Shareef2College of Computer Sciences and Mathematics University of Mosul, Mosul, IraqCollege of Computer sciences and Mathematics University of Mosul, IraqCollege of Computer sciences and Mathematics University of Mosul, IraqIn this paper, we describe two new algorithms which are modifications of the Hestens-stiefl CG-method. The first is the scaled CG-method (obtained from function and gradient-values) which improves the search direction by multiplying to a scalar obtained from function value and its gradient at two successive points along the iterations. The second is the Preconditioned CG-method which uses an approximation at Hessein of the minimizing function. These algorithms are not sensitive to the line searches. Numerical experiments indicate that these new algorithms are effective and superior especially for increasing dimensionalities.https://csmj.mosuljournals.com/article_164012_58a562e936c3acf404b04c7e7e893c56.pdfunconstrained optimizationconjugate gradient algorithmhestens-stiefl methodhessein matrix
spellingShingle Abbas Al-Bayati
Khalil Abo
Salah Shareef
Investigation on Scaled CG-Type Algorithms for Unconstrained Optimization
Al-Rafidain Journal of Computer Sciences and Mathematics
unconstrained optimization
conjugate gradient algorithm
hestens-stiefl method
hessein matrix
title Investigation on Scaled CG-Type Algorithms for Unconstrained Optimization
title_full Investigation on Scaled CG-Type Algorithms for Unconstrained Optimization
title_fullStr Investigation on Scaled CG-Type Algorithms for Unconstrained Optimization
title_full_unstemmed Investigation on Scaled CG-Type Algorithms for Unconstrained Optimization
title_short Investigation on Scaled CG-Type Algorithms for Unconstrained Optimization
title_sort investigation on scaled cg type algorithms for unconstrained optimization
topic unconstrained optimization
conjugate gradient algorithm
hestens-stiefl method
hessein matrix
url https://csmj.mosuljournals.com/article_164012_58a562e936c3acf404b04c7e7e893c56.pdf
work_keys_str_mv AT abbasalbayati investigationonscaledcgtypealgorithmsforunconstrainedoptimization
AT khalilabo investigationonscaledcgtypealgorithmsforunconstrainedoptimization
AT salahshareef investigationonscaledcgtypealgorithmsforunconstrainedoptimization