| _version_ |
1860796890071695360
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| building |
INTELEK Repository
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| collection |
Online Access
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| collectionurl |
https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072
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| date |
2021-02-19 21:03:52
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| eventvenue |
Virtual
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| format |
Restricted Document
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| id |
10573
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| institution |
UniSZA
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| originalfilename |
4612-01-FH03-FIK-21-52718.pdf
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| person |
Graham Douglas
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| recordtype |
oai_dc
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| resourceurl |
https://intelek.unisza.edu.my/intelek/pages/view.php?ref=10573
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| spelling |
10573 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=10573 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Conference Conference Paper application/pdf 8 1.6 Adobe Acrobat Pro DC 20 Paper Capture Plug-in template Graham Douglas open access proceedings fast affordable flexible 2021-02-19 21:03:52 4612-01-FH03-FIK-21-52718.pdf UniSZA Private Access Performance analysis of a modified conjugate gradient algorithm for optimization models The Conjugate gradient (CG) algorithms is very important and widely used in solving optimization models. This is due to its simplicity as well as global convergence properties. Various line search procedures as usually employ in the analysis of the CG methods. Recently, many studies have been done aimed at improving the CG method. In this paper, an alternative formula for conjugate gradient coefficient has been proposed which possesses the global convergence properties under exact minimization condition. The result of the numerical computation has shown that this new coefficient performs better than the existing CG methods. 1-8 1st International Conference on Science, Technology, Engineering and Industrial Revolution Virtual
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| spellingShingle |
Performance analysis of a modified conjugate gradient algorithm for optimization models
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| summary |
The Conjugate gradient (CG) algorithms is very important and widely used in solving optimization models. This is due to its simplicity as well as global convergence properties. Various line search procedures as usually employ in the analysis of the CG methods. Recently, many studies have been done aimed at improving the CG method. In this paper, an alternative formula for conjugate gradient coefficient has been proposed which possesses the global convergence properties under exact minimization condition. The result of the numerical computation has shown that this new coefficient performs better than the existing CG methods.
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| title |
Performance analysis of a modified conjugate gradient algorithm for optimization models
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| title_full |
Performance analysis of a modified conjugate gradient algorithm for optimization models
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| title_fullStr |
Performance analysis of a modified conjugate gradient algorithm for optimization models
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| title_full_unstemmed |
Performance analysis of a modified conjugate gradient algorithm for optimization models
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| title_short |
Performance analysis of a modified conjugate gradient algorithm for optimization models
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| title_sort |
performance analysis of a modified conjugate gradient algorithm for optimization models
|