A new family of Polak-Ribiere-Polyak conjugate gradient method with the strong-Wolfe line search

Mustafa, Mamat and Ghani, N.H.A. and Rivaie, M (2017) A new family of Polak-Ribiere-Polyak conjugate gradient method with the strong-Wolfe line search. In: 24th National Symposium on Mathematical Sciences: Mathematical Sciences Exploration for the Universal Preservation, 27-29 September 2016, Primula Beach HotelKuala Terengganu, Terengganu.

[img] Image
FH03-FIK-17-09950.jpg
Restricted to Registered users only
Download (143kB)

Abstract

Conjugate gradient (CG) method is an important technique in unconstrained optimization, due to its effectiveness and low memory requirements. The focus of this paper is to introduce a new CG method for solving large scale unconstrained optimization. Theoretical proofs show that the new method fulfills sufficient descent condition if strong Wolfe-Powell inexact line search is used. Besides, computational results show that our proposed method outperforms to other existing CG methods.

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > Q Science (General)
Divisions: Faculty of Informatics & Computing
Depositing User: Muhammad Akmal Azhar
Date Deposited: 17 Nov 2020 07:00
Last Modified: 17 Nov 2020 07:00
URI: http://eprints.unisza.edu.my/id/eprint/1523

Actions (login required)

View Item View Item
Welcome to UniSZA Institutional Repository (UniSZA-IR) is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.