The convergence properties of new hybrid conjugate gradient method
In this paper, a new Hybrid Conjugate Gradient Methods is presented, which produced sufficient descent search direction at every iteration and global Convergence Properties for solving large-scale nonlinear optimization problem under exact line search. The numerical experiments show that a hybrid...
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| 主要な著者: | , , , |
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| フォーマット: | Conference or Workshop Item |
| 言語: | English |
| 出版事項: |
2019
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| 主題: | |
| オンライン･アクセス: | http://eprints.unisza.edu.my/2598/1/FH03-FIK-19-27583.pdf http://eprints.unisza.edu.my/2598/ |
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| 要約: | In this paper, a new Hybrid Conjugate Gradient Methods is presented, which produced sufficient descent search
direction at every iteration and global Convergence Properties for solving large-scale nonlinear optimization problem
under exact line search. The numerical experiments show that a hybrid method has the best efficiency for the test
problems. |
|---|