On Self-Scaling Variable-Metric Algorithms

Section: Research Paper
Issue
Vol. 4 No. 1 (2007): Volume 4 Issue 1
Published
Jun 1, 2007
Pages
11-18

Abstract

In this paper, we have developed a new self-scaling VM-method for solving unconstrained nonlinear optimization problems. The numerical and theoretical results demonstrate the general effectiveness of the new self-scaling VM-method when compared with PHUA & ZENG algorithm ; we have tested these algorithms on several high-dimension test functions with promising numerical results.

Authors

Abbas Y. Al-Bayati

College of Computer Sciences and Mathematics University of Mosul, Mosul, Iraq

Mardin Sh. Taher

College of Computer sciences and Mathematics University of Mosul/Iraq

Identifiers

https://doi.org/10.33899/csmj.2007.163992%20
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How to Cite

Y. Al-Bayati, A., & Sh. Taher, M. (2007). On Self-Scaling Variable-Metric Algorithms. AL-Rafidain Journal of Computer Sciences and Mathematics, 4(1), 11–18. https://doi.org/10.33899/csmj.2007.163992
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