DEVELOPING A NEW CONJUGATE GRADIENT ALGORITHM WITH THE BENEFIT OF SOME DESIRABLE PROPERTIES OF THE NEWTON ALGORITHM FOR UNCONSTRAINED OPTIMIZATION

Author:

Hamel Naima, ,Benrabia Noureddine,Ghiat Mourad,Guebbai Hamza,

Publisher

Wilmington Scientific Publisher, LLC

Subject

General Mathematics

Reference30 articles.

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Z. M. Abdullah and I. K. Jamalaldeen, A new hybrid of DY and CGSD conjugate gradient methods for solving unconstrained optimization problems, Tik. J. of Pure Sci., 2021, 26(5), 86–91.

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5.

N. Andrei, A hybrid conjugate gradient algorithm with modified secant condition for unconstrained optimization as a convex combination of Hestenes-Stiefel and Dai-Yuan algorithms, Studies in Informatics and Control, 2008, 17(4), 373–392.

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