A new hyhbrid coefficient of conjugate gradient method
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...
| Published in: | Indonesian Journal of Electrical Engineering and Computer Science |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Institute of Advanced Engineering and Science
2020
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079136149&doi=10.11591%2fijeecs.v18.i3.pp1454-1463&partnerID=40&md5=ace1c5e7be832d6c438d283db4a1f1ec |
| Summary: | 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. Copyright © 2020 Institute of Advanced Engineering and Science. All rights reserved. |
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| ISSN: | 25024752 |
| DOI: | 10.11591/ijeecs.v18.i3.pp1454-1463 |