A Modified Spectral Methods for Large-Scale UnconStrained

Basim A. Hassan; Haneen A. Alashoor

doi:10.23851/mjs.v29i1.576

A Modified Spectral Methods for Large-Scale UnconStrained

Authors

Basim A. Hassan Department of Mathematics, College of Computers Sciences and Mathematics, University of Mosul
Haneen A. Alashoor Department of Mathematics, College of Computers Sciences and Mathematics, University of Mosul

DOI:

https://doi.org/10.23851/mjs.v29i1.576

Keywords:

Conjugate gradient, Spectral conjugate gradient, Global convergence, Numerical results.

Abstract

A modified spectral methods for solving unconstrained optimization problems based on the formulae are derived which are given in [4, 5]. The proposed methods satisfied the descent condition. Moreover, we prove that the new spectral methods are globally convergent. The Numerical results show that the proposed methods effective by comparing with the FR-method.

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Published

2018-10-31

How to Cite

[1]

B. A. Hassan and H. A. Alashoor, “A Modified Spectral Methods for Large-Scale UnconStrained”, MJS, vol. 29, no. 1, pp. 127–132, Oct. 2018.

Issue

Vol. 29 No. 1 (2018)

Section

Mathematics

License

The journal has no restrictions for the author to hold the copyrights of his articles. The journal does not allow authors to republish the same article in other journals or conferences that is published in one of its volumes.