Trust-region based methods for unconstrained global optimization
Convexity is an essential characteristic in optimization. In reality, many optimization problems are not unimodal which make their feasible regions to be non-convex. These conditions lead to hard global optimization issues even in low dimension. In this study, two trusted-region based methods are de...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2019
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/81058/1/KerkLeeChangPFS2019.pdf http://eprints.utm.my/id/eprint/81058/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:124972 |
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