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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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 |