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Proceedings of the 5th International Symposium on Uncertainty Quantification and Stochastic Modelling - Bog

- Uncertainties 2020

Bag om Proceedings of the 5th International Symposium on Uncertainty Quantification and Stochastic Modelling

This proceedings book discusses state-of-the-art research on uncertainty quantification in mechanical engineering, including statistical data concerning the entries and parameters of a system to produce statistical data on the outputs of the system. It is based on papers presented at Uncertainties 2020, a workshop organized on behalf of the Scientific Committee on Uncertainty in Mechanics (Mécanique et Incertain) of the AFM (French Society of Mechanical Sciences), the Scientific Committee on Stochastic Modeling and Uncertainty Quantification of the ABCM (Brazilian Society of Mechanical Sciences) and the SBMAC (Brazilian Society of Applied Mathematics).

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783030536688
  • Indbinding:
  • Hardback
  • Sideantal:
  • 472
  • Udgivet:
  • 20. august 2020
  • Udgave:
  • 12021
  • Størrelse:
  • 155x235x0 mm.
  • Vægt:
  • 887 g.
  • 8-11 hverdage.
  • 21. november 2024
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  • BLACK NOVEMBER

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Prøv i 30 dage for 45 kr.
Herefter fra 79 kr./md. Ingen binding.

Beskrivelse af Proceedings of the 5th International Symposium on Uncertainty Quantification and Stochastic Modelling

This proceedings book discusses state-of-the-art research on uncertainty quantification in mechanical engineering, including statistical data concerning the entries and parameters of a system to produce statistical data on the outputs of the system. It is based on papers presented at Uncertainties 2020, a workshop organized on behalf of the Scientific Committee on Uncertainty in Mechanics (Mécanique et Incertain) of the AFM (French Society of Mechanical Sciences), the Scientific Committee on Stochastic Modeling and Uncertainty Quantification of the ABCM (Brazilian Society of Mechanical Sciences) and the SBMAC (Brazilian Society of Applied Mathematics).

Brugerbedømmelser af Proceedings of the 5th International Symposium on Uncertainty Quantification and Stochastic Modelling



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