Overview
Gathers lecture notes from leading experts in the field into one authoritative resource, providing readers with an essential starting point for cutting edge research
Provides the most modern techniques for optimization under uncertainty, many of which are outdated or not covered in existing texts on the subject
Includes never before published sections on optimization under uncertainty with imprecise probabilities, as well as new methods of uncertainty quantification based on imprecise probabilities and expert elicitation
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Table of contents (17 chapters)
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Front Matter
Keywords
About this book
The aerospace sector in particular has stringent performance requirements on highly complex systems, for which solutions are expected to be optimal and reliable at the same time. The text covers a wide range of techniques and methods, from polynomial chaos expansions for uncertainty quantification to Bayesian and Imprecise Probability theories, and from Markov chains to surrogate models based on Gaussian processes. The book will serve as a valuable tool for practitioners, researchers and PhD students.
Editors and Affiliations
About the editor
More recently, Professor Vasile has undertaken extensive research on techniques for asteroid manipulation as well as the sustainability of the space environment. His research has been funded by the European Space Agency, EPSRC, the Planetary Society and the European Commission. He was the Lead of the Stardust Marie Curie ITN on debris and asteroid manipulation and is now leading the UTOPIAE (Uncertainty Treatment and Optimization In Aerospace Engineering) Marie Curie ETN on optimization under uncertainty and uncertainty quantification in complex aerospace engineering systems.
Bibliographic Information
Book Title: Optimization Under Uncertainty with Applications to Aerospace Engineering
Editors: Massimiliano Vasile
DOI: https://doi.org/10.1007/978-3-030-60166-9
Publisher: Springer Cham
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-60165-2Published: 16 February 2021
Softcover ISBN: 978-3-030-60168-3Published: 16 February 2022
eBook ISBN: 978-3-030-60166-9Published: 15 February 2021
Edition Number: 1
Number of Pages: VI, 573
Number of Illustrations: 47 b/w illustrations, 108 illustrations in colour
Topics: Astronomy, Astrophysics and Cosmology, Aerospace Technology and Astronautics, Optimization, Mathematical and Computational Engineering, Computational Science and Engineering