- All Journals
- Al-Qadisiyah University
- Basrah University
- Kirkuk University
- Mosul University
- The Iraqi Borad for Medical Specialization
- University of Anbar
- University of Technology
- Al Mustafa University
- Al-Zahraa University for Women
- Alnoor University
- Kunooz University
- Misan University
- Ninevah University
- Tikrit University
- University of Al-Hamdaniya
- University of Kerbala
A Modified Super-linear QN-Algorithm for Unconstrained Optimization | ||
| IRAQI JOURNAL OF STATISTICAL SCIENCES | ||
| Article 2, Volume 10, Issue 2, 2010, Pages 1-34 PDF (0 K) | ||
| DOI: 10.33899/iqjoss.2010.028448 | ||
| Authors | ||
| Abbas Y. AL-Bayati; Ivan Subhi Latif | ||
| Abstract | ||
| In this paper, we have proposed a modified QN-algorithm for solving a self-scaling large scale unconstrained optimization problems based on a new QN-update. The performance of the proposed algorithm is better than that used by Wei, Li, Yuan algorithm. Our numerical tests show that the new proposed algorithm seems to converge faster as compared with a standard similar algorithm in many situations . | ||
|
Statistics Article View: 352 PDF Download: 207 |
||