International Journal of Quantitative Research and Modeling
Vol 1, No 1 (2020)

A COMPARATIVE STUDY OF SOME MODIFICATIONS OF CG METHODS UNDER EXACT LINE SEARCH

Yasir Salih (Unknown)
Mustafa Mamat (Unknown)
Sukono Sukono (Unknown)

Article Info

Publish Date
02 Feb 2020

Abstract

Conjugate Gradient (CG) method is a technique used in solving nonlinear unconstrained optimization problems. In this paper, we analysed the performance of two modifications and compared the results with the classical conjugate gradient methods of. These proposed methods possesse global convergence properties for general functions using exact line search. Numerical experiments show that the two modifications are more efficient for the test problems compared to classical CG coefficients.

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Journal Info
International Journal of Quantitative Research and Modeling
Website

Abbrev

ijqrm

Publisher

Research Collaboration Community

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Engineering Environmental Science Physics

Description

International Journal of Quantitative Research and Modeling (IJQRM) is published 4 times a year and is the flagship journal of the Research Collaboration Community (RCC). It is the aim of IJQRM to present papers which cover the theory, practice, history or methodology of Quatitative Research (QR) ...