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An improved PRP conjugate gradient method for optimization computation | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 10، دوره 15، شماره 11، بهمن 2024، صفحه 139-147 اصل مقاله (1.01 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2023.28524.3918 | ||
| نویسندگان | ||
| Bachir Barrouk* 1، 2؛ Mohammed Belloufi2؛ Rachid Benzine3؛ Taher Bechouat2 | ||
| 1Badji Mokhtar University, Annaba, 23000, Algeria | ||
| 2Laboratory Informatics and Mathematics (LiM), Mohamed Cherif Messaadia University, Souk Ahras, 41000, Algeria | ||
| 3Superior School of Industrial Technologies, Annaba, 23000, Algeria | ||
| تاریخ دریافت: 03 مهر 1401، تاریخ پذیرش: 05 آبان 1402 | ||
| چکیده | ||
| The conjugate gradient method plays a very important role in several fields, to solve problems of large sizes. To improve the efficiency of this method, a lot of work has been done; in this paper, we propose a new modification of PRP method to solve a large scale unconstrained optimization problems in relation with strong Wolf Powell Line Search property, when the latter was used under some conditions, a global convergence result was proved. In comparison with other known methods the efficiency of this method proved that it is better in the number of iterations and in time on $90$ proposed problems by use of Matlab. | ||
| کلیدواژهها | ||
| Unconstrained optimization؛ Conjugate gradient method؛ strong wolfe line search؛ Numerical comparisons | ||
| مراجع | ||
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