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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| Format: | Thesis |
| Language: | en |
| Published: |
2019
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/41324/1/41324.pdf https://ir.uitm.edu.my/id/eprint/41324/ |
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| _version_ | 1833066658576465920 |
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| 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 |
| building | Tun Abdul Razak Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Mara |
| content_source | UiTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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 |
| id | my.uitm.ir-41324 |
| institution | Universiti Teknologi Mara |
| language | en |
| publishDate | 2019 |
| record_format | eprints |
| spelling | my.uitm.ir-413242021-02-04T09:54:21Z https://ir.uitm.edu.my/id/eprint/41324/ On solving unconstrained optimization problem using three term conjugate gradient method / Nor Amila Sofiya Abdullah and Nurul Nadia Mohd Jalil 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 NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/41324/1/41324.pdf On solving unconstrained optimization problem using three term conjugate gradient method / Nor Amila Sofiya Abdullah and Nurul Nadia Mohd Jalil. (2019) Degree thesis, thesis, Universiti Teknologi MARA. |
| spellingShingle | Equations Mathematical statistics. Probabilities 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 |
| title | 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_short | 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 |
| topic | Equations Mathematical statistics. Probabilities Analysis Algorithms |
| url | https://ir.uitm.edu.my/id/eprint/41324/1/41324.pdf https://ir.uitm.edu.my/id/eprint/41324/ |
| url_provider | http://ir.uitm.edu.my/ |