An overview of some practical quasi- newton methods for unconstrained optimization
Other Title(s)
دراسة حصرية لبعض الخوارزميات التطبيقية المشابهة لطريقة قانون نيوتن للحلول المثلى غير المقيدة
Joint Authors
al-Baali, Muhyi al-Din
Khalfan, Hamid
Source
Sultan Qaboos University Journal for Science
Issue
Vol. 2007, Issue 12 (31 Dec. 2007), pp.199-209, 11 p.
Publisher
Sultan Qaboos University College of Science
Publication Date
2007-12-31
Country of Publication
Oman
No. of Pages
11
Main Subjects
Topics
Abstract AR
تعتبر الخوارزميات المشابهة لطريقة نيوتن من الطرق التطبيقية الأكثر كفاءة لمسائل الحلول المثلى غير المقيدة.
تتضمن هذه المقالة دراسة شاملة لبعض الخوارزميات الحديثة من هذا النوع مع التركيز على الطرق المستخدمة في تقريب مصفوفة المشتقة الثانية و وسائل تطويرها.
Abstract EN
Quasi-Newton methods are among the most practical and efficient iterative methods for solving unconstrained minimization problems.
In this paper we give an overview of some of these methods with focus primarily on the Hessian approximation updates and modifications aimed at improving their performance.
American Psychological Association (APA)
al-Baali, Muhyi al-Din& Khalfan, Hamid. 2007. An overview of some practical quasi- newton methods for unconstrained optimization. Sultan Qaboos University Journal for Science،Vol. 2007, no. 12, pp.199-209.
https://search.emarefa.net/detail/BIM-26426
Modern Language Association (MLA)
al-Baali, Muhyi al-Din& Khalfan, Hamid. An overview of some practical quasi- newton methods for unconstrained optimization. Sultan Qaboos University Journal for Science No. 12 (2007), pp.199-209.
https://search.emarefa.net/detail/BIM-26426
American Medical Association (AMA)
al-Baali, Muhyi al-Din& Khalfan, Hamid. An overview of some practical quasi- newton methods for unconstrained optimization. Sultan Qaboos University Journal for Science. 2007. Vol. 2007, no. 12, pp.199-209.
https://search.emarefa.net/detail/BIM-26426
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 207-209
Record ID
BIM-26426
