A Modified Conjugate Gradient Method using multi-step in Unconstrained Optimization
In this paper we proposed a new HS type conjugate gradient method by using two kind of modification, first derived a new non-quadratic model second using structure of the memoryless BFGS quasi-Newton method. The new proposed method always generates a descent condition. We give a sufficient condition...
| Format: | Article |
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| Language: | Arabic |
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College of Computer Science and Mathematics, University of Mosul
2011-12-01
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| Series: | المجلة العراقية للعلوم الاحصائية |
| Online Access: | https://stats.mosuljournals.com/article_27917_83cb3c3bb059b1ebdc78754563eb6765.pdf |
| Summary: | In this paper we proposed a new HS type conjugate gradient method by using two kind of modification, first derived a new non-quadratic model second using structure of the memoryless BFGS quasi-Newton method. The new proposed method always generates a descent condition. We give a sufficient condition for the global converges of the proposed general method. Finally, some numerical results are also reported. |
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| ISSN: | 1680-855X 2664-2956 |