New search direction of steepest descent method for solving large linear systems

المؤلفون المشاركون

Ali, Iyad Ramadan
Fathi, Bayda Ghanim

المصدر

General Letters in Mathematics

العدد

المجلد 12، العدد 2 (30 يونيو/حزيران 2022)، ص ص. 57-63، 7ص.

الناشر

مركز رفاد للدراسات و الأبحاث

تاريخ النشر

2022-06-30

دولة النشر

الأردن

عدد الصفحات

7

التخصصات الرئيسية

الرياضيات

الملخص EN

The steepest descent (SD) method is well-known as the simplest method in optimization.

In this paper, we propose a new SD search direction for solving system of linear equations Ax = b.

We also prove that the proposed SD method with exact line search satisfies descent condition and possesses global convergence properties.

This proposed method is motivated by previous work on the SD method by Zubai’ah-Mustafa-Rivaie-Ismail (ZMRI)[2].

Numerical comparisons with a classical SD algorithm and ZMRI algorithm show that this algorithm is very effective depending on the number of iterations (NOI) and CPU time.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Ali, Iyad Ramadan& Fathi, Bayda Ghanim. 2022. New search direction of steepest descent method for solving large linear systems. General Letters in Mathematics،Vol. 12, no. 2, pp.57-63.
https://search.emarefa.net/detail/BIM-1437678

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Ali, Iyad Ramadan& Fathi, Bayda Ghanim. New search direction of steepest descent method for solving large linear systems. General Letters in Mathematics Vol. 12, no. 2 (2022), pp.57-63.
https://search.emarefa.net/detail/BIM-1437678

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Ali, Iyad Ramadan& Fathi, Bayda Ghanim. New search direction of steepest descent method for solving large linear systems. General Letters in Mathematics. 2022. Vol. 12, no. 2, pp.57-63.
https://search.emarefa.net/detail/BIM-1437678

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references : p. 63

رقم السجل

BIM-1437678