Investigation on Self-Scaling of Mixed Interior-Exterior Method for Non-Linear Optimization

Section: Research Paper
Issue
Vol. 2 No. 2 (2005): Volume 2 Issue 2
Pages
73-85

Abstract

In this paper, we have investigated self-scaling sequential unconstrained minimization techniques (SUMT). Our new modified version on CG-method and QN- method shows that it is too effective when compared with other established algorithms to solve standard constrained optimization problems.

Keywords:

unconstrained Optimization, self-scaling technique

Author

Ghada M. Al-Naemi

College of Computer Sciences and Mathematics University of Mosul, Iraq

Identifiers

DOI: 10.33899/csmj.2005.164085

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Investigation on Self-Scaling of Mixed Interior-Exterior Method for Non-Linear Optimization. (2005). AL-Rafidain Journal of Computer Sciences and Mathematics, 2(2), 73-85. https://doi.org/10.33899/csmj.2005.164085
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How to Cite

Investigation on Self-Scaling of Mixed Interior-Exterior Method for Non-Linear Optimization. (2005). AL-Rafidain Journal of Computer Sciences and Mathematics, 2(2), 73-85. https://doi.org/10.33899/csmj.2005.164085