New Conjugate Gradient Algorithm for Solving Unconstrained Optimization Problems

Authors

  • Ziad Kanaya
  • Ali Al-Issa

Abstract

Conjugate gradient algorithms are important for solving unconstrained optimization problems, so that we present in this paper conjugate gradient algorithm depending on improving conjugate coefficient  achieving sufficient descent condition and global convergence by doing hybrid between the two conjugate coefficients   [1] and [2]. Numerical results show the efficiency of the suggested algorithm after its application on several standard problems and comparing it with other conjugate gradient algorithms according to number of iterations, function value and norm of gradient vector.

 

Downloads

Published

2018-10-01

How to Cite

1.
Kanaya Z, Al-Issa A. New Conjugate Gradient Algorithm for Solving Unconstrained Optimization Problems. TUJ-BA [Internet]. 2018Oct.1 [cited 2024Apr.23];39(6). Available from: https://journal.tishreen.edu.sy/index.php/bassnc/article/view/4023

Issue

Vol. 39 No. 6 (2017): العلوم الاساسية

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

The authors retain the copyright and grant the right to publish in the magazine for the first time with the transfer of the commercial right to the Tishreen University Journal -Basic Sciences Series  

 Under a CC BY- NC-SA 04 license that allows others to share the work with of the work's authorship and initial publication in this journal. Authors can use a copy of their articles in their scientific activity, and on their scientific websites, provided that the place of publication is indicted in Tishreen University Journal -Basic Sciences Series .  The Readers have the right to send, print and subscribe to the initial version of the article, and the title of Tishreen University Journal -Basic Sciences Series   Publisher

 

journal uses a CC BY-NC-SA license which mean

You are free to:

  • Adapt — remix, transform, and build upon the material
  •  
  • The licensor cannot revoke these freedoms as long as you follow the license terms.

 

  • Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  • NonCommercial — You may not use the material for commercial purposes.
  • ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
  • No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.