Optimization Under Uncertainty with Applications to Aerospace Engineering



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Éditeur :

Springer


Paru le : 2021-02-15



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Description

In an expanding world with limited resources, optimization and uncertainty quantification have become a necessity when handling complex systems and processes. This book provides the foundational material necessary for those who wish to embark on advanced research at the limits of computability, collecting together lecture material from leading experts across the topics of optimization, uncertainty quantification and aerospace engineering.


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.
Pages
573 pages
Collection
n.c
Parution
2021-02-15
Marque
Springer
EAN papier
9783030601652
EAN PDF
9783030601669

Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
57
Taille du fichier
11756 Ko
Prix
158,24 €
EAN EPUB
9783030601669

Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
57
Taille du fichier
40489 Ko
Prix
158,24 €

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