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Uncertainty Quantification: Introduction and Implementations

  • Roland PulchEmail author
  • Piotr Putek
  • E. Jan W. ter Maten
  • Wim Schoenmaker
Chapter
Part of the Mathematics in Industry book series (MATHINDUSTRY, volume 29)

Abstract

This chapter provides a short introduction to Uncertainty Quantification based on Monte Carlo simulations, on Generalized Polynomial Chaos expansions and on Worst Case Corner Analysis. Furthermore, it also covers remarks how the chosen implementation should fit within existing simulation environments.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Roland Pulch
    • 1
    Email author
  • Piotr Putek
    • 1
    • 2
  • E. Jan W. ter Maten
    • 2
  • Wim Schoenmaker
    • 3
  1. 1.Universität GreifswaldGreifswaldGermany
  2. 2.Bergische Universität WuppertalWuppertalGermany
  3. 3.MAGWEL NVLeuvenBelgium

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