Diagonal preconditioned conjugate gradient algorithm for unconstrained optimization
The nonlinear conjugate gradient (CG) methods have widely been used in solving unconstrained optimization problems. They are well-suited for large-scale optimization problems due to their low memory requirements and least computational costs. In this paper, a new diagonal preconditioned conjugate gr...
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| 主要な著者: | , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Universiti Putra Malaysia Press
2014
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| オンライン･アクセス: | http://psasir.upm.edu.my/id/eprint/40566/1/48.%20Diagonal%20Preconditioned%20Conjugate%20Gradient%20Algorithm%20for.pdf http://psasir.upm.edu.my/id/eprint/40566/ http://pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2022%20(1)%20Jan.%202014/18%20Page%20213-224%20(JST%200385-2012).pdf |
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