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New Parameter of CG-Method for Unconstrained Optimization | ||
| AL-Rafidain Journal of Computer Sciences and Mathematics | ||
| Article 2, Volume 13, Issue 1, 2019, Pages 22-31 PDF (448.18 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/csmj.2020.163500 | ||
| Authors | ||
| Hamsa Th. Chilmeran1; Satia A. Al-Taie2; Enaam Gh. Saeed1 | ||
| 1Department of Mathematics College of Computer Science and Mathematics | ||
| 2Computer Center | ||
| Abstract | ||
| In this paper, we derived a new parameter by equating the modified QN direction which is suggested by [7] and the standard CG method which satisfied the sufficient descent condition and the global convergence under some assumptions. The numerical experiment of the new algorithm perform better than previous standard algorithm depending on the number of calling the function (NOF) and number of iterations (NOI). | ||
| Keywords | ||
| CG-method; QN-direction; global convergence | ||
|
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