International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 178 - Number 51 |
Year of Publication: 2019 |
Authors: Osman O. O. Yousif, Adam Hussein, Abdelrhman Abashar |
10.5120/ijca2019919427 |
Osman O. O. Yousif, Adam Hussein, Abdelrhman Abashar . An Implementation of Conjugate Gradient Methods for Estimating Polynomial Models. International Journal of Computer Applications. 178, 51 ( Sep 2019), 19-22. DOI=10.5120/ijca2019919427
Conjugate gradient (CG) methods are one of the most widely used methods for solving nonlinear unconstrained optimization problems, especially of large scale. That is, due to their simplicity and low memory requirement. To analyze the convergence properties of a CG method, it implemented into two line searches; exact and inexact. In this paper, given some data, some CG methods will be used to find a polynomial function that fitting the data. To show the efficiency, a comparison between CG methods and least square method will be done.