Automatic Self-Scaling Strategies for VM Updates

Section: Research Paper
Issue
Vol. 1 No. 1 (2004): Volume 1 Issue 1
Published
Jun 1, 2004
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.

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

https://doi.org/10.33899/csmj.2004.164097%20
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How to Cite

Y. Al-Bayati, A., & S. Al-Salih, M. (2004). Automatic Self-Scaling Strategies for VM Updates. AL-Rafidain Journal of Computer Sciences and Mathematics, 1(1), 54–64. https://doi.org/10.33899/csmj.2004.164097
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