A descent modification of conjugate gradient method for optimization models
Joint Authors
Sulayman, Ibrahim Muhammad
Kamfa, Kamilu
Danlami, Mukhtar
Mamat, Mustafa
Source
Issue
Vol. 61, Issue 7 (31 Jul. 2020), pp.1745-1750, 6 p.
Publisher
University of Baghdad College of Science
Publication Date
2020-07-31
Country of Publication
Iraq
No. of Pages
6
Main Subjects
Abstract EN
In this paper, we suggest a descent modification of the conjugate gradient method which converges globally provided that the exact minimization condition is satisfied.
Preliminary numerical experiments on some benchmark problems show that the method is efficient and promising.
American Psychological Association (APA)
Sulayman, Ibrahim Muhammad& Mamat, Mustafa& Kamfa, Kamilu& Danlami, Mukhtar. 2020. A descent modification of conjugate gradient method for optimization models. Iraqi Journal of Science،Vol. 61, no. 7, pp.1745-1750.
https://search.emarefa.net/detail/BIM-970126
Modern Language Association (MLA)
Sulayman, Ibrahim Muhammad…[et al.]. A descent modification of conjugate gradient method for optimization models. Iraqi Journal of Science Vol. 61, no. 7 (2020), pp.1745-1750.
https://search.emarefa.net/detail/BIM-970126
American Medical Association (AMA)
Sulayman, Ibrahim Muhammad& Mamat, Mustafa& Kamfa, Kamilu& Danlami, Mukhtar. A descent modification of conjugate gradient method for optimization models. Iraqi Journal of Science. 2020. Vol. 61, no. 7, pp.1745-1750.
https://search.emarefa.net/detail/BIM-970126
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 1750
Record ID
BIM-970126
