Two New Extended PR Conjugate Gradient Methods for Solving Nonlinear Minimization Problems

Section: Research Paper
Issue
Vol. 27 No. 1 (2018): Volume 27 Issue 1
Pages
97-115

Keywords:

Extended Conjugate Gradient Method, Minimization Problems, Non-Quadratic Models, Sufficient Descent, global convergence

Abstract

In this paper, we have discussed and investigated two nonlinear extended PR-CG method which use function and gradient values. The two new methods involve the standard CG-methods and have the sufficient descent and globally convergence properties under certain conditions. We have got some important numerical results by comparing the new method with Wu and Chen PRCG-(2010) method in this field.

References

Authors

Abbas AL-Bayati

College of Basic Education Telafer, University of Mosul, Mosul, Iraq

Rana AL-Kawaz

College of Computers Sciences and Mathematics, University of Mosul, Mosul, Iraq

Identifiers

DOI: 10.33899/edusj.2014.161565

Download this PDF file
PDF

Statistics

How to Cite

[1]
“Two New Extended PR Conjugate Gradient Methods for Solving Nonlinear Minimization Problems”, JES, vol. 27, no. 1, pp. 97–115, Jan. 2018, doi: 10.33899/edusj.2014.161565.

How to Cite

[1]
“Two New Extended PR Conjugate Gradient Methods for Solving Nonlinear Minimization Problems”, JES, vol. 27, no. 1, pp. 97–115, Jan. 2018, doi: 10.33899/edusj.2014.161565.