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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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Main Authors: Abidin, Z.Z., Aini, N., Husin, S.F., Rivaie, M, Mamat, M.
Format: Conference or Workshop Item
Language:English
English
Published: 2018
Subjects:
QA Mathematics
QA75 Electronic computers. Computer science
Online Access: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/
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spelling 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.
institution Universiti Sultan Zainal Abidin
building UNISZA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sultan Zainal Abidin
content_source UNISZA Institutional Repository
url_provider https://eprints.unisza.edu.my/
language English
English
topic QA Mathematics
QA75 Electronic computers. Computer science
spellingShingle 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

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