On Self-Scaling Variable-Metric Algorithms

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

Keywords:

unconstrained Optimization, nonlinear problems, self-scaling VM-method

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.

References

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

DOI: 10.33899/csmj.2007.163992

Download this PDF file
PDF

Statistics

How to Cite

On Self-Scaling Variable-Metric Algorithms. (2007). AL-Rafidain Journal of Computer Sciences and Mathematics, 4(1), 11-18. https://doi.org/10.33899/csmj.2007.163992
Copyright and Licensing
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

On Self-Scaling Variable-Metric Algorithms. (2007). AL-Rafidain Journal of Computer Sciences and Mathematics, 4(1), 11-18. https://doi.org/10.33899/csmj.2007.163992