Two modified QN-algorithms for solving unconstrained optimization problems
Joint Authors
al-Bayati, Abbas Y.
Hasan, Basim A.
Source
al- Rafidain Journal of Computer Sciences and Mathematics
Issue
Vol. 10, Issue 3 (31 Dec. 2013), pp.21-28, 8 p.
Publisher
University of Mosul College of Computer Science and Mathematics
Publication Date
2013-12-31
Country of Publication
Iraq
No. of Pages
8
Main Subjects
Topics
Abstract AR
في هذا البحث تم استحداث خوارزميتين جديدتين من خوارزميات أشباه نيوتن لحل مسائل الأمثلية اللاخطية و غير المقيدة.
هاتان الخوارزميتان معتمدتان على تقنيات شروط شبيهة نيوتن حول دوال الهدف التربيعية و غير التربيعية.
النتائج العددية أثبتت كفاءة الخوارزميتين المقترحتين مقارنة بخوارزميتي Yuan و Biggs.
Abstract EN
This paper presents two modified Quasi-Newton algorithms which are designed for solving nonlinear unconstrained optimization problems.
These algorithms are based on different techniques namely : Quasi-Newton conditions on quadratic and nonquadratic objective functions.
Experimental results indicate that the new proposed algorithms are more efficient than the Yuan and Biggs- algorithms.
American Psychological Association (APA)
al-Bayati, Abbas Y.& Hasan, Basim A.. 2013. Two modified QN-algorithms for solving unconstrained optimization problems. al- Rafidain Journal of Computer Sciences and Mathematics،Vol. 10, no. 3, pp.21-28.
https://search.emarefa.net/detail/BIM-342821
Modern Language Association (MLA)
al-Bayati, Abbas Y.& Hasan, Basim A.. Two modified QN-algorithms for solving unconstrained optimization problems. al- Rafidain Journal of Computer Sciences and Mathematics Vol. 10, no. 3 (2013), pp.21-28.
https://search.emarefa.net/detail/BIM-342821
American Medical Association (AMA)
al-Bayati, Abbas Y.& Hasan, Basim A.. Two modified QN-algorithms for solving unconstrained optimization problems. al- Rafidain Journal of Computer Sciences and Mathematics. 2013. Vol. 10, no. 3, pp.21-28.
https://search.emarefa.net/detail/BIM-342821
Data Type
Journal Articles
Language
English
Notes
Includes appendix : p. 28
Record ID
BIM-342821