New Quasi-Newton (Dfp) With Logistic Mapping

Authors

Keywords:

Unconstrained optimization, Quasi-Newton methods, DFP method, Logistic mapping

Abstract

In this paper, we propose a modification of the self-scaling quasi-Newton (DFP) method for unconstrained optimization using logistic mapping. We shoe that it produces a positive definite matrix. Numerical results demonstrate that the new algorithm is superior to standard DFP method with respect to the NOI and NOF.

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Author Biographies

  • Salah G. Shareef, University of Zakho

    Dept. of Mathematics, Faculty of Science, University of Zakho, Kurdistan Region-Iraq.

  • Bayda G. Fathi, University of Zakho

    Dept. of Mathematics, Faculty of Science, University of Zakho, Kurdistan Region-Iraq.

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Published

2016-06-30

Issue

Section

Science Journal of University of Zakho

How to Cite

Shareef, S. G., & Fathi, B. G. (2016). New Quasi-Newton (Dfp) With Logistic Mapping. Science Journal of University of Zakho, 4(1), 115-120. https://sjuoz.uoz.edu.krd/index.php/sjuoz/article/view/312

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