Zahrahtul Amani, Zakaria and Mustafa, Mamat and Mohd, Rivaie (2015) Global convergence of a new spectral conjugate gradient by using strong wolfe line search. Applied Mathematical Sciences, 9 (61). pp. 3105-3117. ISSN 1312885X [P]
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Abstract
Unconstrained optimization problems can be solved by using few popular methods such as Conjugate Gradient (CG) method, Steepest Descent (SD) Method and Broyden-Fletcher-Goldfarb-Shanno (BFGS) method. The simplest solving method is by using SD method but nowadays CG method is used worldwide due to its convergence analysis. A few of unconstrained optimization problems with several different variables are used to prove the global convergence result of new spectral conjugate gradient to be compared with five most common k proposed by the early researches by using inexact line search.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Spectral Conjugate Gradient, Global Convergence, Strong Wolfe |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Informatics & Computing |
| Depositing User: | Syahmi Manaf |
| Date Deposited: | 13 Sep 2022 04:57 |
| Last Modified: | 13 Sep 2022 04:57 |
| URI: | http://eprints.unisza.edu.my/id/eprint/6330 |
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