| _version_ |
1860799640289411072
|
| building |
INTELEK Repository
|
| collection |
Online Access
|
| collectionurl |
https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072
|
| date |
2016-09-14 11:32:01
|
| eventvenue |
Kuala Lumpur, Malaysia
|
| format |
Restricted Document
|
| id |
6803
|
| institution |
UniSZA
|
| originalfilename |
1101-01-FH03-FIK-16-06521.jpg
|
| person |
norman
|
| recordtype |
oai_dc
|
| resourceurl |
https://intelek.unisza.edu.my/intelek/pages/view.php?ref=6803
|
| spelling |
6803 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=6803 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Conference Conference Paper image/jpeg inches 96 96 norman 1418 59 59 2016-09-14 11:32:01 762 1418x762 1101-01-FH03-FIK-16-06521.jpg UniSZA Private Access A modification of classical conjugate gradient method using strong Wolfe line search Recently many researches try to develop and improve the Conjugate Gradient (CG) methods because of its convergence properties and low computation costing. In this paper, another CG coefficient (βk) will be proposed which is categorized as modification in such a way to improve the performance of the classical CG methods. This paper is focused on generating βk with several desirable properties: (1) generate descent search direction at each iterations; and (2) converge globally by using strong Wolfe line search. Numerical comparisons of three CG methods show the robustness and the efficiency of the new method in solving all given problems. 2nd International Conference on Mathematical Sciences and Statistics: Innovations Through Mathematical and Statistical Research, ICMSS 2016 Kuala Lumpur, Malaysia
|
| spellingShingle |
A modification of classical conjugate gradient method using strong Wolfe line search
|
| summary |
Recently many researches try to develop and improve the Conjugate Gradient (CG) methods because of its convergence properties and low computation costing. In this paper, another CG coefficient (βk) will be proposed which is categorized as modification in such a way to improve the performance of the classical CG methods. This paper is focused on generating βk with several desirable properties: (1) generate descent search direction at each iterations; and (2) converge globally by using strong Wolfe line search. Numerical comparisons of three CG methods show the robustness and the efficiency of the new method in solving all given problems.
|
| title |
A modification of classical conjugate gradient method using strong Wolfe line search
|
| title_full |
A modification of classical conjugate gradient method using strong Wolfe line search
|
| title_fullStr |
A modification of classical conjugate gradient method using strong Wolfe line search
|
| title_full_unstemmed |
A modification of classical conjugate gradient method using strong Wolfe line search
|
| title_short |
A modification of classical conjugate gradient method using strong Wolfe line search
|
| title_sort |
modification of classical conjugate gradient method using strong wolfe line search
|