Optimization Under Uncertainty with Applications to Aerospace Engineering - - Books - Springer Nature Switzerland AG - 9783030601652 - February 16, 2021
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Optimization Under Uncertainty with Applications to Aerospace Engineering 2021 edition

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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.

573 pages, 121 Tables, color; 108 Illustrations, color; 47 Illustrations, black and white; VI, 573 p

Media Books     Hardcover Book   (Book with hard spine and cover)
Released February 16, 2021
ISBN13 9783030601652
Publishers Springer Nature Switzerland AG
Pages 573
Dimensions 150 × 220 × 20 mm   ·   984 g
Language German  
Editor Vasile, Massimiliano

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