Uncertainty Modeling for Engineering Applications

This book provides an overview of state-of-the-art uncertainty quantification (UQ) methodologies and applications, and covers a wide range of current research, future challenges and applications in various domains, such as aerospace and mechanical applications, structure health and seismic hazard, e...

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Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Canavero, Flavio (Editör)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edisyon:1st ed. 2019.
Seri Bilgileri:PoliTO Springer Series,
Konular:
Computational intelligence.
Security systems.
Probabilities.
Computational Intelligence.
Security Science and Technology.
Probability Theory.
Online Erişim:Full-text access
OPAC'ta görüntüle
İçindekiler:
  • Quadrature Strategies for Constructing Polynomial Approximations
  • Weighted reduced order methods for parametrized partial differential equations with random inputs
  • A new approach for state estimation
  • Data-efficient Sensitivity Analysis with Surrogate Modeling
  • Application of Polynomial Chaos Expansions for Uncertainty Estimation in Angle-of-Arrival based Localization
  • Surrogate Modeling for Fast Experimental Assessment of Specific Absorption Rate
  • Stochastic Dosimetry for Radio-Frequency exposure assessment in realistic scenarios
  • On the Various Applications of Stochastic Collocation in Computational Electromagnetics
  • Reducing the statistical complexity of EMC testing: improvements for radiated experiments using stochastic collocation and bootstrap methods
  • Hybrid Possibilistic-Probabilistic Approach to Uncertainty Quantification in Electromagnetic Compatibility Models
  • Measurement uncertainty cannot always be calculated.

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