A comparison on classical-hybrid conjugate gradient method under exact line search

International Journal of Advances in Intelligent Informatics

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Field Value
 
Title A comparison on classical-hybrid conjugate gradient method under exact line search
 
Creator Mohamed, Nur Syarafina
Mamat, Mustafa
Rivaie, Mohd
Shaharudin, Shazlyn Milleana
 
Subject
 
Description One of the popular approaches in modifying the Conjugate Gradient (CG) Method is hybridization. In this paper, a new hybrid CG is introduced and its performance is compared to the classical CG method which are Rivaie-Mustafa-Ismail-Leong (RMIL) and Syarafina-Mustafa-Rivaie (SMR) methods. The proposed hybrid CG is evaluated as a convex combination of RMIL and SMR method. Their performance are analyzed under the exact line search. The comparison performance showed that the hybrid CG is promising and has outperformed the classical CG of RMIL and SMR in terms of the number of iterations and central processing unit per time.
 
Publisher Universitas Ahmad Dahlan
 
Contributor
 
Date 2019-07-31
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Format application/pdf
 
Identifier http://ijain.org/index.php/IJAIN/article/view/356
10.26555/ijain.v5i2.356
 
Source International Journal of Advances in Intelligent Informatics; Vol 5, No 2 (2019): July 2019; 150-159
2548-3161
2442-6571
 
Language eng
 
Relation http://ijain.org/index.php/IJAIN/article/view/356/ijain_v5i2_p150-159
 
Rights https://creativecommons.org/licenses/by-sa/4.0
 

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