Hybrid BFGS-ZMRI methods with global convergence properties
In this paper, we focus on the steepest descent and quasi-Newton method in solving unconstrained optimization problem. Therefore, we develop a new search direction for hybrid BFGS-ZMRI method with global convergence properties. Based on the numerical result, our method shows significant improveme...
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my-unisza-ir.16612020-11-19T04:59:05Z http://eprints.unisza.edu.my/1661/ Hybrid BFGS-ZMRI methods with global convergence properties Abidin, Z.Z. Aini, N. Husin, S.F. Rivaie, M Mamat, M. QA Mathematics QA75 Electronic computers. Computer science In this paper, we focus on the steepest descent and quasi-Newton method in solving unconstrained optimization problem. Therefore, we develop a new search direction for hybrid BFGS-ZMRI method with global convergence properties. Based on the numerical result, our method shows significant improvement in the number of iteration and CPU time. 2018 Conference or Workshop Item NonPeerReviewed image en http://eprints.unisza.edu.my/1661/1/FH03-FIK-18-14482.jpg text en http://eprints.unisza.edu.my/1661/2/FH03-FIK-18-16989.pdf Abidin, Z.Z. and Aini, N. and Husin, S.F. and Rivaie, M and Mamat, M. (2018) Hybrid BFGS-ZMRI methods with global convergence properties. In: 25th National Symposium on Mathematical Sciences: Mathematical Sciences as the Core of Intellectual Excellence, SKSM 2017, 27-29 Aug 2017, Kuantan, Pahang. |
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QA Mathematics QA75 Electronic computers. Computer science Abidin, Z.Z. Aini, N. Husin, S.F. Rivaie, M Mamat, M. Hybrid BFGS-ZMRI methods with global convergence properties |
description |
In this paper, we focus on the steepest descent and quasi-Newton method in solving unconstrained
optimization problem. Therefore, we develop a new search direction for hybrid BFGS-ZMRI method
with global convergence properties. Based on the numerical result, our method shows significant
improvement in the number of iteration and CPU time. |
format |
Conference or Workshop Item |
author |
Abidin, Z.Z. Aini, N. Husin, S.F. Rivaie, M Mamat, M. |
author_facet |
Abidin, Z.Z. Aini, N. Husin, S.F. Rivaie, M Mamat, M. |
author_sort |
Abidin, Z.Z. |
title |
Hybrid BFGS-ZMRI methods with global convergence properties |
title_short |
Hybrid BFGS-ZMRI methods with global convergence properties |
title_full |
Hybrid BFGS-ZMRI methods with global convergence properties |
title_fullStr |
Hybrid BFGS-ZMRI methods with global convergence properties |
title_full_unstemmed |
Hybrid BFGS-ZMRI methods with global convergence properties |
title_sort |
hybrid bfgs-zmri methods with global convergence properties |
publishDate |
2018 |
url |
http://eprints.unisza.edu.my/1661/1/FH03-FIK-18-14482.jpg http://eprints.unisza.edu.my/1661/2/FH03-FIK-18-16989.pdf http://eprints.unisza.edu.my/1661/ |
_version_ |
1684657733449547776 |
score |
13.18916 |