Automatic self-scaling strategies For VM updates
Joint Authors
al-Bayati, Abbas Y.
al-Salih, Maha S. Y.
Source
al- Rafidain Journal of Computer Sciences and Mathematics
Issue
Vol. 1, Issue 1 (30 Jun. 2004), pp.53-63, 11 p.
Publisher
University of Mosul College of Computer Science and Mathematics
Publication Date
2004-06-30
Country of Publication
Iraq
No. of Pages
11
Main Subjects
Abstract AR
في هذا البحث تم التطرق إلى صنف جديد من خوارزميات المتري المتغير على وفق تقنية خاصة بالقياس الذاتي.
و تمت كذلك دراسة بعض النتائج النظرية التي تؤكد التقارب الشامل للخوارزمية الجديدة المقترحة.
Abstract EN
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.
American Psychological Association (APA)
al-Bayati, Abbas Y.& al-Salih, Maha S. Y.. 2004. Automatic self-scaling strategies For VM updates. al- Rafidain Journal of Computer Sciences and Mathematics،Vol. 1, no. 1, pp.53-63.
https://search.emarefa.net/detail/BIM-361227
Modern Language Association (MLA)
al-Bayati, Abbas Y.& al-Salih, Maha S. Y.. Automatic self-scaling strategies For VM updates. al- Rafidain Journal of Computer Sciences and Mathematics Vol. 1, no. 2 (2004), pp.53-63.
https://search.emarefa.net/detail/BIM-361227
American Medical Association (AMA)
al-Bayati, Abbas Y.& al-Salih, Maha S. Y.. Automatic self-scaling strategies For VM updates. al- Rafidain Journal of Computer Sciences and Mathematics. 2004. Vol. 1, no. 1, pp.53-63.
https://search.emarefa.net/detail/BIM-361227
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 62-63
Record ID
BIM-361227
