Advances in Uncertainty Quantification and Optimization Under Uncertainty with Aerospace Applications

Released on by Massimiliano Vasile
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  • Advances in Uncertainty Quantification and Optimization Under Uncertainty with Aerospace Applications Book Detail

  • Author : Massimiliano Vasile
  • Release Date : 2022-01-27
  • Publisher : Springer Nature
  • Genre : Technology & Engineering
  • Pages : 448
  • ISBN 13 : 3030805425
  • File Size : 84,84 MB
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Advances in Uncertainty Quantification and Optimization Under Uncertainty with Aerospace Applications by Massimiliano Vasile PDF Summary

Book Description: The 2020 International Conference on Uncertainty Quantification & Optimization gathered together internationally renowned researchers in the fields of optimization and uncertainty quantification. The resulting proceedings cover all related aspects of computational uncertainty management and optimization, with particular emphasis on aerospace engineering problems. The book contributions are organized under four major themes: Applications of Uncertainty in Aerospace & Engineering Imprecise Probability, Theory and Applications Robust and Reliability-Based Design Optimisation in Aerospace Engineering Uncertainty Quantification, Identification and Calibration in Aerospace Models This proceedings volume is useful across disciplines, as it brings the expertise of theoretical and application researchers together in a unified framework.

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Uncertainty in Engineering

Uncertainty in Engineering

File Size : 65,65 MB
Total View : 1625 Views
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This open access book provides an introduction to uncertainty quantification in engineering. Starting with preliminaries on Bayesian statistics and Monte Carlo