New Conjugate Gradient Method for Unconstrained Optimization with Logistic Mapping

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Published: 2016-06-30
Keywords:
Unconstrained Optimization, Conjugate Gradient Method, Descent Condition, Logistic Mapping

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Shareef G. Shareef
University of Zakho image/svg+xml
Hussein A. Khatab
University of Zakho image/svg+xml
Sawsan S. Ismael
University of Mosul image/svg+xml

Abstract

In this paper , we suggested a new conjugate gradient algorithm for unconstrained optimization based on logistic mapping, descent condition and sufficient descent condition for our  method are provided. Numerical results show that our presented algorithm is more efficient for solving nonlinear unconstrained optimization problems comparing with (DY) .

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Article Details

Issue

Vol. 4 No. 1 (2016): June, 2016

Section

Science Journal of University of Zakho
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Author Biographies

Shareef G. Shareef, University of Zakho

Department of Mathmatics, Faculty of Science, University of Zakho, Kurdistan Region – Iraq.

Hussein A. Khatab, University of Zakho

Department of Mathmatics, Faculty of Science, University of Zakho, Kurdistan Region – Iraq.

Sawsan S. Ismael, University of Mosul

Department of Mathmatics, College of Education, University of Mosul, Iraq.

How to Cite

Shareef, S. G., Khatab, H. A., & Ismael, S. S. (2016). New Conjugate Gradient Method for Unconstrained Optimization with Logistic Mapping. Science Journal of University of Zakho, 4(1), 133-136. https://stest.uoz.edu.krd/index.php/sjuoz/article/view/314