A globally convergence spectral conjugate gradient method for solving unconstrained optimization problems

Author

Hasan, Basim A.

Source

al- Rafidain Journal of Computer Sciences and Mathematics

Issue

Vol. 10, Issue 4 (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

Information Technology and Computer Science

Topics

Abstract AR

في هذا البحث، تم دراسة طريقة للتدرج المترافق الطيفية لحل مسائل الأمثلية غير المقيدة و التي تمتاز بالانحدار الكافي و التقارب الشامل و باستخدام خطوط بحث غير مضبوطة.

و قد تم استعمال وسيلة استرجاع Fletchre-Reeves في الصيغتين القديمة و الجديدة و كان لذلك أثر كبير في توفير الزمن المطلوب للحل.

و قد أظهرت النتائج العددية فعالية الطريقة المطورة مقارنة بطريقة –FR.

Abstract EN

In this paper, a modified spectral conjugate gradient method for solving unconstrained optimization problems is studied, which has sufficient descent direction and global convergence with an inexact line searches.

The Fletcher-Reeves restarting criterion was employed to the standard and new versions and gave dramatic savings in the computational time.

The Numerical results show that the proposed method is effective by comparing it with the FR-method.

American Psychological Association (APA)

Hasan, Basim A.. 2013. A globally convergence spectral conjugate gradient method for solving unconstrained optimization problems. al- Rafidain Journal of Computer Sciences and Mathematics،Vol. 10, no. 4, pp.21-28.
https://search.emarefa.net/detail/BIM-351174

Modern Language Association (MLA)

Hasan, Basim A.. A globally convergence spectral conjugate gradient method for solving unconstrained optimization problems. al- Rafidain Journal of Computer Sciences and Mathematics Vol. 10, no. 4 (2013), pp.21-28.
https://search.emarefa.net/detail/BIM-351174

American Medical Association (AMA)

Hasan, Basim A.. A globally convergence spectral conjugate gradient method for solving unconstrained optimization problems. al- Rafidain Journal of Computer Sciences and Mathematics. 2013. Vol. 10, no. 4, pp.21-28.
https://search.emarefa.net/detail/BIM-351174

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 28

Record ID

BIM-351174