On self-scaling variable-metric algorithms
Joint Authors
al-Bayati, Abbas Y.
Tahir, Mardin Sh.
Source
al- Rafidain Journal of Computer Sciences and Mathematics
Issue
Vol. 4, Issue 1 (30 Jun. 2007), pp.11-18, 8 p.
Publisher
University of Mosul College of Computer Science and Mathematics
Publication Date
2007-06-30
Country of Publication
Iraq
No. of Pages
8
Main Subjects
Mathematics
Information Technology and Computer Science
Topics
Abstract AR
في هذا البحث تم استحداث خوارزمية جديدة للمتري ذاتي القياس لحل المسائل اللاخطية في الأمثلية غير المقيدة.
النتائج النظرية و العملية أثبتت كفاءة الخوارزمية الجديدة بمقارنتها مع خوارزمية ZENG & PHUA و باستخدام عدد من الدوال غير الخطية ذات الأبعاد الكبيرة.
Abstract EN
In this paper, we have developed a new self-scaling VM-method for solving unconstrained nonlinear optimization problems.
The numerical and theoretical results demonstrate the general effectiveness of the new self-scaling VM-method when compared with PHUA & ZENG algorithm ; we have tested these algorithms on several high-dimension test functions with promising numerical results.
American Psychological Association (APA)
al-Bayati, Abbas Y.& Tahir, Mardin Sh.. 2007. On self-scaling variable-metric algorithms. al- Rafidain Journal of Computer Sciences and Mathematics،Vol. 4, no. 1, pp.11-18.
https://search.emarefa.net/detail/BIM-340702
Modern Language Association (MLA)
al-Bayati, Abbas Y.& Tahir, Mardin Sh.. On self-scaling variable-metric algorithms. al- Rafidain Journal of Computer Sciences and Mathematics Vol. 4, no. 1 (2007), pp.11-18.
https://search.emarefa.net/detail/BIM-340702
American Medical Association (AMA)
al-Bayati, Abbas Y.& Tahir, Mardin Sh.. On self-scaling variable-metric algorithms. al- Rafidain Journal of Computer Sciences and Mathematics. 2007. Vol. 4, no. 1, pp.11-18.
https://search.emarefa.net/detail/BIM-340702
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 18
Record ID
BIM-340702
