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Automatic Self-Scaling Strategies for VM Updates
Author(s) -
Abbas Al-Bayati,
Maha Al-Salih
Publication year - 2004
Publication title -
maǧallaẗ al-rāfidayn li-ʿulūm al-ḥāsibāt wa-al-riyāḍiyyāẗ/˜al-œrafidain journal for computer sciences and mathematics
Language(s) - English
Resource type - Journals
eISSN - 2311-7990
pISSN - 1815-4816
DOI - 10.33899/csmj.2004.164097
Subject(s) - scaling , convergence (economics) , computer science , class (philosophy) , mathematical optimization , algorithm , mathematics , artificial intelligence , geometry , economics , economic growth
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.

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