A new nonlinear conjugate gradient coefficient under strong Wolfe-Powell line search

Mustafa, Mamat and Mohamed, N.S. and Rivaie, M (2017) A new nonlinear conjugate gradient coefficient under strong Wolfe-Powell 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.

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Abstract

A nonlinear conjugate gradient method (CG) plays an important role in solving a large-scale unconstrained optimization problem. This method is widely used due to its simplicity. The method is known to possess sufficient descend condition and global convergence properties. In this paper, a new nonlinear of CG coefficient βk is presented by employing the Strong Wolfe-Powell inexact line search. The new βk performance is tested based on number of iterations and central processing unit (CPU) time by using MATLAB software with Intel Core i7-3470 CPU processor. Numerical experimental results show that the new βk converge rapidly compared to other classical CG method.

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Informatics & Computing
Depositing User: Muhammad Akmal Azhar
Date Deposited: 17 Nov 2020 06:39
Last Modified: 17 Nov 2020 06:39
URI: http://eprints.unisza.edu.my/id/eprint/1518

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