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Self-Scaling Variable Metric in Constrained Optimization | ||
| AL-Rafidain Journal of Computer Sciences and Mathematics | ||
| Article 2, Volume 14, Issue 1, 2020, Pages 21-30 PDF (659.27 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/csmj.2020.164673 | ||
| Authors | ||
| Eman Hamed* ; Marwa W. Hamad | ||
| College of Computer Science and Mathematics,University of Mosul, Mosul, Iraq | ||
| Abstract | ||
| In this paper, we investigated of a new self-scaling by use quasi-Newton method and conjugate gradient method. The new algorithm satisfies a quasi-newton condition and mutually conjugate, and practically proved its efficiency when compared with the well-known algorithms in this domain, by depending on efficiency measure, number of function, number of iteration, and number of constrained, NOF, NOI and NOC. | ||
| Keywords | ||
| Optimization; self-scaling; constrained; quasi newton method; barrier method | ||
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