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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Bibliographic Details
Main Author: Kerk, Lee Chang
Format: Thesis
Language:English
Published: 2019
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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