New Conjugate Gradient Method for Unconstrained Optimization with Logistic Mapping
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Submitted
September 27, 2018
Published
June 30, 2016
Keywords:
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Unconstrained Optimization, Conjugate Gradient Method, Descent Condition, Logistic Mapping
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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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://www.sjuoz.uoz.edu.krd/index.php/sjuoz/article/view/314
Copyright (c) 2016 Shareef G. Shareef, Hussein A. Khatab, Sawsan S. Ismael
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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://www.sjuoz.uoz.edu.krd/index.php/sjuoz/article/view/314