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Thesis

Derivative-free algorithms for nonlinear optimisation problems

Abstract:

Minimising a nonlinear function is a ubiquitous problem in applications, and standard algorithms need accurate evaluations of the function and its derivatives. However, if the function is black-box, expensive to evaluate, or noisy, it may be impractical or even impossible to obtain accurate derivatives, and we require derivative-free optimisation (DFO). Model-based DFO methods perform well in practice, taking many features from derivative-based methods, but can have lower performance for n...

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Division:
MPLS
Department:
Mathematical Institute
Role:
Author

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Supervisor
Role:
Supervisor
Role:
Supervisor
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford
Language:
English
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UUID:
uuid:ec76e895-6eee-491a-88ed-b4ed10fa6003
Deposit date:
2019-10-11

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