Comparative study of Conjugate Gradient methods under Armijo Line search / Nurfarahi Naabihah Mohd Azmi

The conjugate gradient (CG) method is one of the optimization methods that is often used in practical applications. The continuous and numerous studies conducted on the CG method have led to vast improvements in its convergence properties and efficiency. In this project, a few CG methods are chosen...

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Main Author: Mohd Azmi, Nurfarahi Naabihah
Format: Thesis
Language:English
Published: 2021
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Online Access:https://ir.uitm.edu.my/id/eprint/77818/1/77818.pdf
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spelling my-uitm-ir.778182023-05-22T04:54:43Z Comparative study of Conjugate Gradient methods under Armijo Line search / Nurfarahi Naabihah Mohd Azmi 2021-01 Mohd Azmi, Nurfarahi Naabihah Equations Mathematical statistics. Probabilities Analytical methods used in the solution of physical problems Algorithms The conjugate gradient (CG) method is one of the optimization methods that is often used in practical applications. The continuous and numerous studies conducted on the CG method have led to vast improvements in its convergence properties and efficiency. In this project, a few CG methods are chosen to be tested under Armijo Line Search based on their efficiency and robustness. These methods are tested with a set of test functions with different variable. There are three initial points used for each method. The number of iteration and CPU time are evaluated in order to find the best method. Based on the results, LAMR method is known to be the best method compared to AMRI, NRMI, AMRO and MRM as it has quite good performance as well as it can solve 100% of the test functions 2021-01 Thesis https://ir.uitm.edu.my/id/eprint/77818/ https://ir.uitm.edu.my/id/eprint/77818/1/77818.pdf text en public degree Universiti Teknologi MARA, Terengganu Faculty of Computer and Mathematical Sciences Zull Pakkal, Norhaslinda
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Zull Pakkal, Norhaslinda
topic Equations
Equations
Analytical methods used in the solution of physical problems
Algorithms
spellingShingle Equations
Equations
Analytical methods used in the solution of physical problems
Algorithms
Mohd Azmi, Nurfarahi Naabihah
Comparative study of Conjugate Gradient methods under Armijo Line search / Nurfarahi Naabihah Mohd Azmi
description The conjugate gradient (CG) method is one of the optimization methods that is often used in practical applications. The continuous and numerous studies conducted on the CG method have led to vast improvements in its convergence properties and efficiency. In this project, a few CG methods are chosen to be tested under Armijo Line Search based on their efficiency and robustness. These methods are tested with a set of test functions with different variable. There are three initial points used for each method. The number of iteration and CPU time are evaluated in order to find the best method. Based on the results, LAMR method is known to be the best method compared to AMRI, NRMI, AMRO and MRM as it has quite good performance as well as it can solve 100% of the test functions
format Thesis
qualification_level Bachelor degree
author Mohd Azmi, Nurfarahi Naabihah
author_facet Mohd Azmi, Nurfarahi Naabihah
author_sort Mohd Azmi, Nurfarahi Naabihah
title Comparative study of Conjugate Gradient methods under Armijo Line search / Nurfarahi Naabihah Mohd Azmi
title_short Comparative study of Conjugate Gradient methods under Armijo Line search / Nurfarahi Naabihah Mohd Azmi
title_full Comparative study of Conjugate Gradient methods under Armijo Line search / Nurfarahi Naabihah Mohd Azmi
title_fullStr Comparative study of Conjugate Gradient methods under Armijo Line search / Nurfarahi Naabihah Mohd Azmi
title_full_unstemmed Comparative study of Conjugate Gradient methods under Armijo Line search / Nurfarahi Naabihah Mohd Azmi
title_sort comparative study of conjugate gradient methods under armijo line search / nurfarahi naabihah mohd azmi
granting_institution Universiti Teknologi MARA, Terengganu
granting_department Faculty of Computer and Mathematical Sciences
publishDate 2021
url https://ir.uitm.edu.my/id/eprint/77818/1/77818.pdf
_version_ 1783736172115132416