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1860799640710938624
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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 |
2016-09-14 11:25:07
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| eventvenue |
Kuala Lumpur, Malaysia
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| format |
Restricted Document
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| id |
6805
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| institution |
UniSZA
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| originalfilename |
1106-01-FH03-FIK-16-06519.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=6805
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| spelling |
6805 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=6805 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Conference Conference Paper image/jpeg inches 96 96 norman 2016-09-14 11:25:07 769 1413x769 1413 06 06 1106-01-FH03-FIK-16-06519.jpg UniSZA Private Access A spectral KRMI conjugate gradient method under the strong-Wolfe line search In this paper, a modification of spectral conjugate gradient (CG) method is proposed which combines the advantages of the spectral CG method and the RMIL method namely as spectral Khadijah-Rivaie-Mustafa-Ibrahim (SKRMI) to solve unconstrained optimization problems. Based on inexact line searches, the objective function generates a sufficient descent direction and the global convergence property for the proposed method has been proved. Moreover, the method reduces to the standard RMIL method if exact line search is applied. Numerical results are also presented to examine the efficiency of the proposed method. 2nd International Conference on Mathematical Sciences and Statistics: Innovations Through Mathematical and Statistical Research, ICMSS 2016 Kuala Lumpur, Malaysia
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| spellingShingle |
A spectral KRMI conjugate gradient method under the strong-Wolfe line search
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| summary |
In this paper, a modification of spectral conjugate gradient (CG) method is proposed which combines the advantages of the spectral CG method and the RMIL method namely as spectral Khadijah-Rivaie-Mustafa-Ibrahim (SKRMI) to solve unconstrained optimization problems. Based on inexact line searches, the objective function generates a sufficient descent direction and the global convergence property for the proposed method has been proved. Moreover, the method reduces to the standard RMIL method if exact line search is applied. Numerical results are also presented to examine the efficiency of the proposed method.
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| title |
A spectral KRMI conjugate gradient method under the strong-Wolfe line search
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| title_full |
A spectral KRMI conjugate gradient method under the strong-Wolfe line search
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| title_fullStr |
A spectral KRMI conjugate gradient method under the strong-Wolfe line search
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| title_full_unstemmed |
A spectral KRMI conjugate gradient method under the strong-Wolfe line search
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| title_short |
A spectral KRMI conjugate gradient method under the strong-Wolfe line search
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| title_sort |
spectral krmi conjugate gradient method under the strong-wolfe line search
|