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http://hdl.handle.net/123456789/24954
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DC Field | Value | Language |
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dc.contributor.author | Nur Syarafina Mohamed | - |
dc.contributor.author | Mustafa Mamat | - |
dc.contributor.author | Mohd Rivaie | - |
dc.contributor.author | Shazlyn Milleana Shaharudin | - |
dc.date.accessioned | 2021-06-10T02:57:46Z | - |
dc.date.available | 2021-06-10T02:57:46Z | - |
dc.date.issued | 2020-06-03 | - |
dc.identifier.citation | Mohamed, N. S., Mamat, M., Rivaie, M., & Shaharudin, S. M. (2020). A new hyhbrid coefficient of conjugate gradient method. Indonesian Journal of Electrical Engineering and Computer Science, 18(3), 1454. https://doi.org/10.11591/ijeecs.v18.i3.pp1454-1463 | en_US |
dc.identifier.issn | 2502-4752 | - |
dc.identifier.uri | http://ijeecs.iaescore.com/index.php/IJEECS/article/view/21535 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/24954 | - |
dc.description | This articles index by Scopus | en_US |
dc.description.abstract | Hybridization is one of the popular approaches in modifying the conjugate gradient method. In this paper, a new hybrid conjugate gradient is suggested and analyzed in which the parameter βk is evaluated as a convex combination of β kRMIL while using exact line search. The proposed method is shown to possess both sufficient descent and global convergence properties. Numerical performances show that the proposed method is promising and has overpowered other hybrid conjugate gradient methods in its number of iterations and central processing unit per time. | en_US |
dc.publisher | Intelektual Pustaka Media Utama | en_US |
dc.subject | Conjugate gradient method | en_US |
dc.subject | Exact line search | en_US |
dc.subject | Hybrid conjugate gradient method | en_US |
dc.title | A new hyhbrid coefficient of conjugate gradient method | en_US |
dc.type | Article | en_US |
Appears in Collections: | Journal Articles |
Files in This Item:
File | Description | Size | Format | |
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A new hyhbrid coefficient of conjugate gradient method.pdf | 833.7 kB | Adobe PDF | View/Open |
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