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Optimization under uncertainty with ...

Vasile, Massimiliano.

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Optimization under uncertainty with applications to aerospace engineering

Record Type:	Electronic resources : Monograph/item
Title/Author:	Optimization under uncertainty with applications to aerospace engineering/ edited by Massimiliano Vasile.
other author:	Vasile, Massimiliano.
Published:	Cham :Springer International Publishing : : 2021.,
Description:	vi, 573 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Mathematical optimization. -
Online resource:	https://doi.org/10.1007/978-3-030-60166-9
ISBN:	9783030601669

Optimization under uncertainty with applications to aerospace engineering
Optimization under uncertainty with applications to aerospace engineering[electronic resource] /edited by Massimiliano Vasile. - Cham :Springer International Publishing :2021. - vi, 573 p. :ill. (some col.), digital ;24 cm.

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.

ISBN: 9783030601669

Standard No.: 10.1007/978-3-030-60166-9doiSubjects--Topical Terms:

517763
Mathematical optimization.

LC Class. No.: QA402.5

Dewey Class. No.: 519.6

Optimization under uncertainty with applications to aerospace engineering
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245 0 0 $a Optimization under uncertainty with applications to aerospace engineering $h [electronic resource] / $c edited by Massimiliano Vasile.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a vi, 573 p. : $b ill. (some col.), digital ; $c 24 cm.
520 $a 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.
650 0 $a Mathematical optimization. $3 517763
650 0 $a Measurement uncertainty (Statistics) $3 2010713
650 0 $a Aerospace engineering $x Mathematics. $3 3491782
650 1 4 $a Astronomy, Astrophysics and Cosmology. $3 890823
650 2 4 $a Aerospace Technology and Astronautics. $3 928116
650 2 4 $a Optimization. $3 891104
650 2 4 $a Mathematical and Computational Engineering. $3 3226306
650 2 4 $a Computational Science and Engineering. $3 893018
700 1 $a Vasile, Massimiliano. $3 3302382
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-030-60166-9
950 $a Physics and Astronomy (SpringerNature-11651)