An automatic, multi-fidelity framework for optimizing the performance of super-cavitating hydrofoils using Gaussian process regression and Bayesian optimization

An automatic, multi-fidelity framework for optimizing the performance of super-cavitating hydrofoils using Gaussian process regression and Bayesian optimization

Thesis: Nav. E., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2018. === Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2018. === Cataloged from PDF version of thesis. === Includes bibliographical references (pages 99-100). =...

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Bibliographic Details
Main Author: Parker, Benjamin W. (Benjamin Wade)
Other Authors: Michael Triantafyllou.
Format: Others
Language:English
Published: Massachusetts Institute of Technology 2018
Subjects:
Mechanical Engineering.
Online Access:http://hdl.handle.net/1721.1/118719

Internet

http://hdl.handle.net/1721.1/118719

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