A new Suggested Conjugate Gradient Algorithm with Logistic Mapping

Authors

  • Dlovan H. Omar University of Zakho

Keywords:

Unconstrained Optimization, Conjugate Gradient Method, Logistic Mapping

Abstract

In this paper, we will use logistic mapping to find new conjugate gradient coefficients for unconstrained optimization.

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Author Biography

Dlovan H. Omar, University of Zakho

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

References

Fletcher,R.&Reeves, C. (1964). Function minimization by conjugate gradients. J. Compute., 7, 149–154.
Fletcher, R. (1987). Practical Methods of Optimization, Vol I: Unconstrained Optimization. New York: Wiley.
Hestenes,M.R.&Stiefel, E. L. (1952) Method of conjugate gradient for solving linear systems. J. Res. Natl.Bur. Stand., 49, 409–432.
Hui-juan LU, Zhang Huo-ming, MA Long-hua,(2005). A new optimization algorithm based on chaos,
Polak,B.&Ribiere, G. (1969). Note surla convergence des methods' de directions conjugu´ees. Rev. Fr.Imform. Rech. Oper., 16, 35–43.
Wolfe P. (1969). Convergence conditions for ascent method, SIAM Rev. 11, pp. 226-235Zhejiang University, Hangzhou 310027, China.

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Published

2016-12-30

How to Cite

Omar, D. H. (2016). A new Suggested Conjugate Gradient Algorithm with Logistic Mapping. Science Journal of University of Zakho, 4(2), 244–247. Retrieved from https://sjuoz.uoz.edu.krd/index.php/sjuoz/article/view/356

Issue

Vol. 4 No. 2 (2016): December, 2016

Section

Science Journal of University of Zakho

License

Copyright (c) 2016 Dlovan H. Omar

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