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, th...
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my-unisza-ir.11062020-11-09T06:48:45Z http://eprints.unisza.edu.my/1106/ A spectral KRMI conjugate gradient method under the strong-Wolfe line search Khadijah, W. Rivaie, M Mamat, M. Jusoh, I. Q Science (General) QA Mathematics 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. 2016 Conference or Workshop Item NonPeerReviewed image en http://eprints.unisza.edu.my/1106/1/FH03-FIK-16-06519.jpg Khadijah, W. and Rivaie, M and Mamat, M. and Jusoh, I. (2016) A spectral KRMI conjugate gradient method under the strong-Wolfe line search. In: 2nd International Conference on Mathematical Sciences and Statistics: Innovations Through Mathematical and Statistical Research, ICMSS 2016, 26-28 Jan 2016, Kuala Lumpur. |
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Q Science (General) QA Mathematics Khadijah, W. Rivaie, M Mamat, M. Jusoh, I. A spectral KRMI conjugate gradient method under the strong-Wolfe line search |
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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. |
format |
Conference or Workshop Item |
author |
Khadijah, W. Rivaie, M Mamat, M. Jusoh, I. |
author_facet |
Khadijah, W. Rivaie, M Mamat, M. Jusoh, I. |
author_sort |
Khadijah, W. |
title |
A spectral KRMI conjugate gradient method under the strong-Wolfe line search |
title_short |
A spectral KRMI conjugate gradient method under the strong-Wolfe line search |
title_full |
A spectral KRMI conjugate gradient method under the strong-Wolfe line search |
title_fullStr |
A spectral KRMI conjugate gradient method under the strong-Wolfe line search |
title_full_unstemmed |
A spectral KRMI conjugate gradient method under the strong-Wolfe line search |
title_sort |
spectral krmi conjugate gradient method under the strong-wolfe line search |
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2016 |
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http://eprints.unisza.edu.my/1106/1/FH03-FIK-16-06519.jpg http://eprints.unisza.edu.my/1106/ |
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1683234974236409856 |
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13.211869 |