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

Bibliographic Details
Format: Restricted Document
_version_ 1860799655898513408
building INTELEK Repository
collection Online Access
collectionurl https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072
date 2017-09-07 14:58:17
eventvenue Primula Beach Hotel Kuala Terengganu, Terengganu
format Restricted Document
id 6873
institution UniSZA
originalfilename 1518-01-FH03-FIK-17-09952.jpg
person norman
recordtype oai_dc
resourceurl https://intelek.unisza.edu.my/intelek/pages/view.php?ref=6873
spelling 6873 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=6873 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Conference Conference Paper image/jpeg inches 96 96 norman 1439 761 1439x761 2017-09-07 14:58:17 75 75 1518-01-FH03-FIK-17-09952.jpg UniSZA Private Access A new nonlinear conjugate gradient coefficient under strong Wolfe-Powell line search 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. 24th National Symposium on Mathematical Sciences: Mathematical Sciences Exploration for the Universal Preservation Primula Beach Hotel Kuala Terengganu, Terengganu
spellingShingle A new nonlinear conjugate gradient coefficient under strong Wolfe-Powell line search
summary 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.
title A new nonlinear conjugate gradient coefficient under strong Wolfe-Powell line search
title_full A new nonlinear conjugate gradient coefficient under strong Wolfe-Powell line search
title_fullStr A new nonlinear conjugate gradient coefficient under strong Wolfe-Powell line search
title_full_unstemmed A new nonlinear conjugate gradient coefficient under strong Wolfe-Powell line search
title_short A new nonlinear conjugate gradient coefficient under strong Wolfe-Powell line search
title_sort new nonlinear conjugate gradient coefficient under strong wolfe-powell line search