Modification of three term Conjugate Gradient method for solving unconstrained optimization / Nurul Hafawati Fadhilah Hussian

Conjugate Gradient (CG) methods have an important role in solving large scale unconstrained optimization. These methods are recognized due to its low memory requirement and convergence speed. However, some CG methods still possess high number of iteration and CPU time when apply in the real life pro...

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Main Author: Hussian, Nurul Hafawati Fadhilah
Format: Thesis
Language:English
Published: 2019
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Online Access:https://ir.uitm.edu.my/id/eprint/91684/1/91684.pdf
https://ir.uitm.edu.my/id/eprint/91684/
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spelling my.uitm.ir.916842024-03-26T00:16:22Z https://ir.uitm.edu.my/id/eprint/91684/ Modification of three term Conjugate Gradient method for solving unconstrained optimization / Nurul Hafawati Fadhilah Hussian Hussian, Nurul Hafawati Fadhilah Equations Conjugate Gradient (CG) methods have an important role in solving large scale unconstrained optimization. These methods are recognized due to its low memory requirement and convergence speed. However, some CG methods still possess high number of iteration and CPU time when apply in the real life problems. Hence, the researchers come out with many alternatives in order to improve the efficiency of the CG methods. Recently, Three Term CG method has become a research trend of CG method. The problem arise when the existing Three Term CG methods could only be used with inexact line search. When exact line search is applied, the formula of Three Term will be reduced to the standard CG method. 2019 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/91684/1/91684.pdf Modification of three term Conjugate Gradient method for solving unconstrained optimization / Nurul Hafawati Fadhilah Hussian. (2019) Masters thesis, thesis, Universiti Teknologi MARA (UiTM).
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Equations
spellingShingle Equations
Hussian, Nurul Hafawati Fadhilah
Modification of three term Conjugate Gradient method for solving unconstrained optimization / Nurul Hafawati Fadhilah Hussian
description Conjugate Gradient (CG) methods have an important role in solving large scale unconstrained optimization. These methods are recognized due to its low memory requirement and convergence speed. However, some CG methods still possess high number of iteration and CPU time when apply in the real life problems. Hence, the researchers come out with many alternatives in order to improve the efficiency of the CG methods. Recently, Three Term CG method has become a research trend of CG method. The problem arise when the existing Three Term CG methods could only be used with inexact line search. When exact line search is applied, the formula of Three Term will be reduced to the standard CG method.
format Thesis
author Hussian, Nurul Hafawati Fadhilah
author_facet Hussian, Nurul Hafawati Fadhilah
author_sort Hussian, Nurul Hafawati Fadhilah
title Modification of three term Conjugate Gradient method for solving unconstrained optimization / Nurul Hafawati Fadhilah Hussian
title_short Modification of three term Conjugate Gradient method for solving unconstrained optimization / Nurul Hafawati Fadhilah Hussian
title_full Modification of three term Conjugate Gradient method for solving unconstrained optimization / Nurul Hafawati Fadhilah Hussian
title_fullStr Modification of three term Conjugate Gradient method for solving unconstrained optimization / Nurul Hafawati Fadhilah Hussian
title_full_unstemmed Modification of three term Conjugate Gradient method for solving unconstrained optimization / Nurul Hafawati Fadhilah Hussian
title_sort modification of three term conjugate gradient method for solving unconstrained optimization / nurul hafawati fadhilah hussian
publishDate 2019
url https://ir.uitm.edu.my/id/eprint/91684/1/91684.pdf
https://ir.uitm.edu.my/id/eprint/91684/
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score 13.160551