A comparison on classical-hybrid conjugate gradient method under exact line search
International Journal of Advances in Intelligent Informatics
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Title |
A comparison on classical-hybrid conjugate gradient method under exact line search
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Creator |
Mohamed, Nur Syarafina
Mamat, Mustafa Rivaie, Mohd Shaharudin, Shazlyn Milleana |
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Subject |
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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.
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Publisher |
Universitas Ahmad Dahlan
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Contributor |
—
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Date |
2019-07-31
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Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion — |
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Format |
application/pdf
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Identifier |
http://ijain.org/index.php/IJAIN/article/view/356
10.26555/ijain.v5i2.356 |
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Source |
International Journal of Advances in Intelligent Informatics; Vol 5, No 2 (2019): July 2019; 150-159
2548-3161 2442-6571 |
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Language |
eng
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Relation |
http://ijain.org/index.php/IJAIN/article/view/356/ijain_v5i2_p150-159
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Rights |
https://creativecommons.org/licenses/by-sa/4.0
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