A combination of FR and HS coefficient in conjugate gradient method for unconstrained optimization
The conjugate gradient (CG) method is one of the most popular methods for solving large-scale problems of unconstrained optimization. In this paper, a new CG method based on combination of two classical CG methods of Fletcher-Reeves (FR), and Hestence-Stiefel (HS) is proposed. This method possess...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | en |
| Published: |
2019
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| Subjects: | |
| Online Access: | http://eprints.unisza.edu.my/6753/1/FH02-FIK-20-47982.pdf http://eprints.unisza.edu.my/6753/ |
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