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Aerospace System Analysis and Optimization in Uncertainty (Hardcover, 1st ed. 2020) Loot Price: R2,107
Discovery Miles 21 070
Aerospace System Analysis and Optimization in Uncertainty (Hardcover, 1st ed. 2020): Loic Brevault, Mathieu Balesdent, Jerome...

Aerospace System Analysis and Optimization in Uncertainty (Hardcover, 1st ed. 2020)

Loic Brevault, Mathieu Balesdent, Jerome Morio

Series: Springer Optimization and Its Applications, 156

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Loot Price R2,107 Discovery Miles 21 070 | Repayment Terms: R197 pm x 12*

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Spotlighting the field of Multidisciplinary Design Optimization (MDO), this book illustrates and implements state-of-the-art methodologies within the complex process of aerospace system design under uncertainties. The book provides approaches to integrating a multitude of components and constraints with the ultimate goal of reducing design cycles. Insights on a vast assortment of problems are provided, including discipline modeling, sensitivity analysis, uncertainty propagation, reliability analysis, and global multidisciplinary optimization. The extensive range of topics covered include areas of current open research. This Work is destined to become a fundamental reference for aerospace systems engineers, researchers, as well as for practitioners and engineers working in areas of optimization and uncertainty. Part I is largely comprised of fundamentals. Part II presents methodologies for single discipline problems with a review of existing uncertainty propagation, reliability analysis, and optimization techniques. Part III is dedicated to the uncertainty-based MDO and related issues. Part IV deals with three MDO related issues: the multifidelity, the multi-objective optimization and the mixed continuous/discrete optimization and Part V is devoted to test cases for aerospace vehicle design.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Springer Optimization and Its Applications, 156
Release date: August 2020
First published: 2020
Authors: Loic Brevault • Mathieu Balesdent • Jerome Morio
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 477
Edition: 1st ed. 2020
ISBN-13: 978-3-03-039125-6
Categories: Books > Science & Mathematics > Mathematics > Numerical analysis
Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory
Books > Science & Mathematics > Mathematics > Optimization > General
Books > Professional & Technical > Transport technology > Aerospace & aviation technology > General
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LSN: 3-03-039125-6
Barcode: 9783030391256

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