A Modified Hybrid Conjugate Gradient Method for Unconstrained Optimization
The nonlinear conjugate gradient algorithms are a very effective way in solving large-scale unconstrained optimization problems. Based on some famous previous conjugate gradient methods, a modified hybrid conjugate gradient method was proposed. The proposed method can generate decent directions at e...
| 主要な著者: | , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Wiley
2021-01-01
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| シリーズ: | Journal of Mathematics |
| オンライン･アクセス: | http://dx.doi.org/10.1155/2021/5597863 |