Two Modified QN-Algorithms for Solving Unconstrained Optimization Problems
This paper presents two modified Quasi-Newton algorithms which are designed for solving nonlinear unconstrained optimization problems. These algorithms are based on different techniques namely: Quasi-Newton conditions on quadratic and non-quadratic objective functions. Experimental results indicate...
| 出版年: | Al-Rafidain Journal of Computer Sciences and Mathematics |
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| 主要な著者: | , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
Mosul University
2013-09-01
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| 主題: | |
| オンライン･アクセス: | https://csmj.mosuljournals.com/article_163523_b744becbbf6d2f2712fc902132005a06.pdf |
| 要約: | This paper presents two modified Quasi-Newton algorithms which are designed for solving nonlinear unconstrained optimization problems. These algorithms are based on different techniques namely: Quasi-Newton conditions on quadratic and non-quadratic objective functions. Experimental results indicate that the new proposed algorithms are more efficient than the Yuan and Biggs- algorithms. |
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| ISSN: | 1815-4816 2311-7990 |