Conjugate gradient and steepest descent approach on quasi-Newton search direction

An approach of using conjugate gradient and classic steepest descent search direction onto quasi-Newton search direction had been proposed in this paper and we called it as 'scaled CGSD-QN' search direction. A new coefficient formula had been successfully constructed for being used in the...

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Main Authors: Mustafa, Mamat, Sofi,, A.Z.M., Mohd,, I., Ibrahim,, M.A.H.
Format: Conference or Workshop Item
Language:English
Published: 2013
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Online Access:http://eprints.unisza.edu.my/199/1/FH03-FIK-15-03958.jpg
http://eprints.unisza.edu.my/199/
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spelling my-unisza-ir.1992020-10-19T07:30:42Z http://eprints.unisza.edu.my/199/ Conjugate gradient and steepest descent approach on quasi-Newton search direction Mustafa, Mamat Sofi,, A.Z.M. Mohd,, I. Ibrahim,, M.A.H. TA Engineering (General). Civil engineering (General) An approach of using conjugate gradient and classic steepest descent search direction onto quasi-Newton search direction had been proposed in this paper and we called it as 'scaled CGSD-QN' search direction. A new coefficient formula had been successfully constructed for being used in the 'scaled CGSD-QN' search direction and proven here that the coefficient formula is globally converge to the minimizer. The Hessian update formula that has been used in the quasi-Newton algorithm is DFP update formula. This new search direction approach was testes with some some standard unconstrained optimization test problems and proven that this new search direction approach had positively affect quasi-Newton method by using DFP update formula. 2013 Conference or Workshop Item NonPeerReviewed image en http://eprints.unisza.edu.my/199/1/FH03-FIK-15-03958.jpg Mustafa, Mamat and Sofi,, A.Z.M. and Mohd,, I. and Ibrahim,, M.A.H. (2013) Conjugate gradient and steepest descent approach on quasi-Newton search direction. In: 21st National Symposium on Mathematical Sciences: Germination of Mathematical Sciences Education and Research Towards Global Sustainability, SKSM 21, 6 - 8 November 2013, Penang; Malaysia.
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
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Mustafa, Mamat
Sofi,, A.Z.M.
Mohd,, I.
Ibrahim,, M.A.H.
Conjugate gradient and steepest descent approach on quasi-Newton search direction
description An approach of using conjugate gradient and classic steepest descent search direction onto quasi-Newton search direction had been proposed in this paper and we called it as 'scaled CGSD-QN' search direction. A new coefficient formula had been successfully constructed for being used in the 'scaled CGSD-QN' search direction and proven here that the coefficient formula is globally converge to the minimizer. The Hessian update formula that has been used in the quasi-Newton algorithm is DFP update formula. This new search direction approach was testes with some some standard unconstrained optimization test problems and proven that this new search direction approach had positively affect quasi-Newton method by using DFP update formula.
format Conference or Workshop Item
author Mustafa, Mamat
Sofi,, A.Z.M.
Mohd,, I.
Ibrahim,, M.A.H.
author_facet Mustafa, Mamat
Sofi,, A.Z.M.
Mohd,, I.
Ibrahim,, M.A.H.
author_sort Mustafa, Mamat
title Conjugate gradient and steepest descent approach on quasi-Newton search direction
title_short Conjugate gradient and steepest descent approach on quasi-Newton search direction
title_full Conjugate gradient and steepest descent approach on quasi-Newton search direction
title_fullStr Conjugate gradient and steepest descent approach on quasi-Newton search direction
title_full_unstemmed Conjugate gradient and steepest descent approach on quasi-Newton search direction
title_sort conjugate gradient and steepest descent approach on quasi-newton search direction
publishDate 2013
url http://eprints.unisza.edu.my/199/1/FH03-FIK-15-03958.jpg
http://eprints.unisza.edu.my/199/
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