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Two Modified QN-Algorithms for Solving Unconstrained Optimization Problems | ||
| AL-Rafidain Journal of Computer Sciences and Mathematics | ||
| Article 2, Volume 10, Issue 3, 2013, Pages 21-28 PDF (293.95 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/csmj.2013.163523 | ||
| Authors | ||
| Abbas Y. Al-Bayati; Basim A. Hassan | ||
| College of Computer Sciences and Mathematics University of Mosul, Mosul, Iraq | ||
| Abstract | ||
| This paper presents two modified Quasi-Newton algorithms which are designed for solving nonlinear unconstrained optimization problems. These algorithms are based on different techniques namely: Quasi-Newton conditions on quadratic and non-quadratic objective functions. Experimental results indicate that the new proposed algorithms are more efficient than the Yuan and Biggs- algorithms. | ||
| Keywords | ||
| Quasi-Newton method; Quasi-Newton Condition; Experimental Results | ||
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