Numerical comparison between classical conjugate gradient and modified conjugate gradient / Mohd Afif Hamran

Conjugate Gradient (CG) are widely used in solving unconstrained optimization due to global convergence properties. The CG that used to solve unconstrained optimization have gone various improvement and modification until now. So a lot of effort have done to improve the efficiency of the classical m...

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Main Author:	Hamran, Mohd Afif
Format:	Thesis
Language:	English
Published:	2018
Subjects:	Mathematical statistics Probabilities Analysis Algorithms
Online Access:	https://ir.uitm.edu.my/id/eprint/40961/1/40961.pdf
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id	my-uitm-ir.40961
record_format	uketd_dc
spelling	my-uitm-ir.409612021-01-25T07:03:48Z Numerical comparison between classical conjugate gradient and modified conjugate gradient / Mohd Afif Hamran 2018 Hamran, Mohd Afif Mathematical statistics. Probabilities Analysis Algorithms Conjugate Gradient (CG) are widely used in solving unconstrained optimization due to global convergence properties. The CG that used to solve unconstrained optimization have gone various improvement and modification until now. So a lot of effort have done to improve the efficiency of the classical method. In this research, three known classical CG method and three modified CG method are tasted with four different problems and difference initial points. The modified CG method are known to have better performance than the classical CG method. The method are tasted based on the number of iteration and the CPU time. 2018 Thesis https://ir.uitm.edu.my/id/eprint/40961/ https://ir.uitm.edu.my/id/eprint/40961/1/40961.pdf text en public degree Universiti Teknologi MARA Faculty of Computer and Mathematical Sciences Jusoh, Ibrahim
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Jusoh, Ibrahim
topic	Mathematical statistics Probabilities Analysis Algorithms
spellingShingle	Mathematical statistics Probabilities Analysis Algorithms Hamran, Mohd Afif Numerical comparison between classical conjugate gradient and modified conjugate gradient / Mohd Afif Hamran
description	Conjugate Gradient (CG) are widely used in solving unconstrained optimization due to global convergence properties. The CG that used to solve unconstrained optimization have gone various improvement and modification until now. So a lot of effort have done to improve the efficiency of the classical method. In this research, three known classical CG method and three modified CG method are tasted with four different problems and difference initial points. The modified CG method are known to have better performance than the classical CG method. The method are tasted based on the number of iteration and the CPU time.
format	Thesis
qualification_level	Bachelor degree
author	Hamran, Mohd Afif
author_facet	Hamran, Mohd Afif
author_sort	Hamran, Mohd Afif
title	Numerical comparison between classical conjugate gradient and modified conjugate gradient / Mohd Afif Hamran
title_short	Numerical comparison between classical conjugate gradient and modified conjugate gradient / Mohd Afif Hamran
title_full	Numerical comparison between classical conjugate gradient and modified conjugate gradient / Mohd Afif Hamran
title_fullStr	Numerical comparison between classical conjugate gradient and modified conjugate gradient / Mohd Afif Hamran
title_full_unstemmed	Numerical comparison between classical conjugate gradient and modified conjugate gradient / Mohd Afif Hamran
title_sort	numerical comparison between classical conjugate gradient and modified conjugate gradient / mohd afif hamran
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2018
url	https://ir.uitm.edu.my/id/eprint/40961/1/40961.pdf
_version_	1783734605911687168

Numerical comparison between classical conjugate gradient and modified conjugate gradient / Mohd Afif Hamran

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