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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