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

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
Subjects:
Equations
Online Access:https://ir.uitm.edu.my/id/eprint/91684/1/91684.pdf
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spelling my-uitm-ir.916842024-03-26T00:16:22Z Modification of three term Conjugate Gradient method for solving unconstrained optimization / Nurul Hafawati Fadhilah Hussian 2019 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 https://ir.uitm.edu.my/id/eprint/91684/ https://ir.uitm.edu.my/id/eprint/91684/1/91684.pdf text en public masters Universiti Teknologi MARA (UiTM) Faculty of Computer and Mathematical Sciences Mohd Ali, Mohd Rivaie
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Mohd Ali, Mohd Rivaie
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
qualification_level Master's degree
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
granting_institution Universiti Teknologi MARA (UiTM)
granting_department Faculty of Computer and Mathematical Sciences
publishDate 2019
url https://ir.uitm.edu.my/id/eprint/91684/1/91684.pdf
_version_ 1804889838772551680

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