Automatic Self-Scaling Strategies for VM Updates

Section: Research Paper
Issue
Vol. 1 No. 1 (2004): Volume 1 Issue 1
Pages
54-64

Abstract

In this paper a class of self-scaling VM-algorithms for unconstrained optimization is investigated. Some theoretical results are given on the scaling strategies that guarantee the global convergence of the new proposed algorithm.

Keywords:

unconstrained Optimization, VM-algorithms, self-scaling, global convergence

Authors

Abbas Y. Al-Bayati

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

Maha S. Al-Salih

Collage of Computers and Mathematics Science, University of Mosul/Iraq

Identifiers

DOI: 10.33899/csmj.2004.164097

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How to Cite

Automatic Self-Scaling Strategies for VM Updates. (2004). AL-Rafidain Journal of Computer Sciences and Mathematics, 1(1), 54-64. https://doi.org/10.33899/csmj.2004.164097
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Creative Commons License

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

How to Cite

Automatic Self-Scaling Strategies for VM Updates. (2004). AL-Rafidain Journal of Computer Sciences and Mathematics, 1(1), 54-64. https://doi.org/10.33899/csmj.2004.164097