| _version_ |
1860799637373321216
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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 |
2016-12-28 15:43:08
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| eventvenue |
Kuala Lumpur, Malaysia
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| format |
Restricted Document
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| id |
6792
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| institution |
UniSZA
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| originalfilename |
1063-01-FH03-FIK-16-07678.jpg
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| person |
norman
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| recordtype |
oai_dc
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| resourceurl |
https://intelek.unisza.edu.my/intelek/pages/view.php?ref=6792
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| spelling |
6792 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=6792 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Conference Conference Paper image/jpeg inches 96 96 norman 1422 31 31 763 2016-12-28 15:43:08 1422x763 1063-01-FH03-FIK-16-07678.jpg UniSZA Private Access Solving a large scale nonlinear unconstrained optimization with exact line search direction by using new coefficient of conjugate gradient methods Conjugate gradient (CG) methods are one of the tools in optimization. Due to its low computational memory requirement, this method is used in solving several of nonlinear unconstrained optimization problems from designs, economics, physics and engineering. In this paper, a new modification of CG family coefficient (βk) is proposed and posses global convergence under exact line search direction. Numerical experimental results based on the number of iterations and central processing unit (CPU) time show that the new βk performs better than some other well known CG methods under some standard test functions. 4th International Conference on Fundamental and Applied Sciences Kuala Lumpur, Malaysia
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| spellingShingle |
Solving a large scale nonlinear unconstrained optimization with exact line search direction by using new coefficient of conjugate gradient methods
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| summary |
Conjugate gradient (CG) methods are one of the tools in optimization. Due to its low computational memory requirement, this method is used in solving several of nonlinear unconstrained optimization problems from designs, economics, physics and engineering. In this paper, a new modification of CG family coefficient (βk) is proposed and posses global convergence under exact line search direction. Numerical experimental results based on the number of iterations and central processing unit (CPU) time show that the new βk performs better than some other well known CG methods under some standard test functions.
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| title |
Solving a large scale nonlinear unconstrained optimization with exact line search direction by using new coefficient of conjugate gradient methods
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| title_full |
Solving a large scale nonlinear unconstrained optimization with exact line search direction by using new coefficient of conjugate gradient methods
|
| title_fullStr |
Solving a large scale nonlinear unconstrained optimization with exact line search direction by using new coefficient of conjugate gradient methods
|
| title_full_unstemmed |
Solving a large scale nonlinear unconstrained optimization with exact line search direction by using new coefficient of conjugate gradient methods
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| title_short |
Solving a large scale nonlinear unconstrained optimization with exact line search direction by using new coefficient of conjugate gradient methods
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| title_sort |
solving a large scale nonlinear unconstrained optimization with exact line search direction by using new coefficient of conjugate gradient methods
|