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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| 主要作者: | |
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| 格式: | Thesis |
| 語言: | English |
| 出版: |
2019
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| 主題: | |
| 在線閱讀: | http://eprints.utm.my/id/eprint/81058/1/KerkLeeChangPFS2019.pdf |
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