On solving unconstrained optimization problem using three term conjugate gradient method / Nor Amila Sofiya Abdullah and Nurul Nadia Mohd Jalil

Conjugate Gradient method is commonly use to solve large scale unconstrained optimization problem. This is because they do not need the storage of matrices. Specifically, this project is to investigate more about three-term conjugate gradient methods. Inexact line search which is strong wolfe and mo...

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Main Authors:	Abdullah, Nor Amila Sofiya, Mohd Jalil, Nurul Nadia
Format:	Thesis
Language:	English
Published:	2019
Subjects:	Equations Analysis Algorithms
Online Access:	https://ir.uitm.edu.my/id/eprint/41324/1/41324.pdf
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id	my-uitm-ir.41324
record_format	uketd_dc
spelling	my-uitm-ir.413242021-02-04T09:54:21Z On solving unconstrained optimization problem using three term conjugate gradient method / Nor Amila Sofiya Abdullah and Nurul Nadia Mohd Jalil 2019-07 Abdullah, Nor Amila Sofiya Mohd Jalil, Nurul Nadia Equations Mathematical statistics. Probabilities Analysis Algorithms Conjugate Gradient method is commonly use to solve large scale unconstrained optimization problem. This is because they do not need the storage of matrices. Specifically, this project is to investigate more about three-term conjugate gradient methods. Inexact line search which is strong wolfe and modified parameter was use in this project. The methods that had been use in this project are Liu (2018), Norddin et. al.(2018), and modified Three-term Hestenes-Steifel (2007). These methods have been tested using several optimization test functions which are Extended Rosenbrock, Himmeblau function, Beale and White & Holst function . The result is analysed based on the number of iteration and CPU time. This expectation result from this research is to identify the best method for strong wolfe to solve large scale unconstrained optimization problems. 2019-07 Thesis https://ir.uitm.edu.my/id/eprint/41324/ https://ir.uitm.edu.my/id/eprint/41324/1/41324.pdf text en public degree Universiti Teknologi MARA Faculty of Computer and Mathematical Sciences Norddin, Nur Idalisa
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Norddin, Nur Idalisa
topic	Equations Equations Analysis Algorithms
spellingShingle	Equations Equations Analysis Algorithms Abdullah, Nor Amila Sofiya Mohd Jalil, Nurul Nadia On solving unconstrained optimization problem using three term conjugate gradient method / Nor Amila Sofiya Abdullah and Nurul Nadia Mohd Jalil
description	Conjugate Gradient method is commonly use to solve large scale unconstrained optimization problem. This is because they do not need the storage of matrices. Specifically, this project is to investigate more about three-term conjugate gradient methods. Inexact line search which is strong wolfe and modified parameter was use in this project. The methods that had been use in this project are Liu (2018), Norddin et. al.(2018), and modified Three-term Hestenes-Steifel (2007). These methods have been tested using several optimization test functions which are Extended Rosenbrock, Himmeblau function, Beale and White & Holst function . The result is analysed based on the number of iteration and CPU time. This expectation result from this research is to identify the best method for strong wolfe to solve large scale unconstrained optimization problems.
format	Thesis
qualification_level	Bachelor degree
author	Abdullah, Nor Amila Sofiya Mohd Jalil, Nurul Nadia
author_facet	Abdullah, Nor Amila Sofiya Mohd Jalil, Nurul Nadia
author_sort	Abdullah, Nor Amila Sofiya
title	On solving unconstrained optimization problem using three term conjugate gradient method / Nor Amila Sofiya Abdullah and Nurul Nadia Mohd Jalil
title_short	On solving unconstrained optimization problem using three term conjugate gradient method / Nor Amila Sofiya Abdullah and Nurul Nadia Mohd Jalil
title_full	On solving unconstrained optimization problem using three term conjugate gradient method / Nor Amila Sofiya Abdullah and Nurul Nadia Mohd Jalil
title_fullStr	On solving unconstrained optimization problem using three term conjugate gradient method / Nor Amila Sofiya Abdullah and Nurul Nadia Mohd Jalil
title_full_unstemmed	On solving unconstrained optimization problem using three term conjugate gradient method / Nor Amila Sofiya Abdullah and Nurul Nadia Mohd Jalil
title_sort	on solving unconstrained optimization problem using three term conjugate gradient method / nor amila sofiya abdullah and nurul nadia mohd jalil
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2019
url	https://ir.uitm.edu.my/id/eprint/41324/1/41324.pdf
_version_	1783734626443853824

On solving unconstrained optimization problem using three term conjugate gradient method / Nor Amila Sofiya Abdullah and Nurul Nadia Mohd Jalil

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