A global convergence of spectral conjugate gradient method for large scale optimization
Author
Source
al-Tarbiyah wa-al-Ilm : Majallat ilmiyah lil-Buhuth al-Ilmiyah al-Asasiyah
Issue
Vol. 27, Issue 3 (30 Sep. 2018), pp.1-20, 20 p.
Publisher
University of Mosul College of Education for Pure Science
Publication Date
2018-09-30
Country of Publication
Iraq
No. of Pages
20
Main Subjects
Information Technology and Computer Science
Abstract EN
In this paper, we are concerned with the conjugate gradient method for solving unconstrained optimization problems due to its simplicity and don’t store any matrices.
We proposed two spectral modifications to the conjugate descent (CD).
These two proposed methods produces sufficient descent directions for the objective function at every iteration with strong Wolfe line searches and with inexact line search, and also they are globally convergent for general non-convex functions can be guaranteed.
Numerical results show the efficiency of these two proposed methods.
American Psychological Association (APA)
al-Nuaymi, Ghadah M.. 2018. A global convergence of spectral conjugate gradient method for large scale optimization. al-Tarbiyah wa-al-Ilm : Majallat ilmiyah lil-Buhuth al-Ilmiyah al-Asasiyah،Vol. 27, no. 3, pp.1-20.
https://search.emarefa.net/detail/BIM-899648
Modern Language Association (MLA)
al-Nuaymi, Ghadah M.. A global convergence of spectral conjugate gradient method for large scale optimization. al-Tarbiyah wa-al-Ilm : Majallat ilmiyah lil-Buhuth al-Ilmiyah al-Asasiyah Vol. 27, no. 3 (2018), pp.1-20.
https://search.emarefa.net/detail/BIM-899648
American Medical Association (AMA)
al-Nuaymi, Ghadah M.. A global convergence of spectral conjugate gradient method for large scale optimization. al-Tarbiyah wa-al-Ilm : Majallat ilmiyah lil-Buhuth al-Ilmiyah al-Asasiyah. 2018. Vol. 27, no. 3, pp.1-20.
https://search.emarefa.net/detail/BIM-899648
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 19-20
Record ID
BIM-899648