An Integrated and Efficient Numerical Framework for Uncertainty Quantification: Application to the Nasa Langley Multidisciplinary Uncertainty Quantification Challenge

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

  • Edoardo Patelli
  • Diego A. Alvarez
  • Matteo Broggi
  • Marco de Angelis

Externe Organisationen

  • University of Strathclyde
  • The University of Liverpool
  • KU Leuven
  • Universidad Nacional de Colombia
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des Sammelwerks16th AIAA Non-Deterministic Approaches Conference
PublikationsstatusVeröffentlicht - 2014

Zitieren

An Integrated and Efficient Numerical Framework for Uncertainty Quantification: Application to the Nasa Langley Multidisciplinary Uncertainty Quantification Challenge. / Patelli, Edoardo; Alvarez, Diego A.; Broggi, Matteo et al.
16th AIAA Non-Deterministic Approaches Conference. 2014.

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Patelli, E, Alvarez, DA, Broggi, M & de Angelis, M 2014, An Integrated and Efficient Numerical Framework for Uncertainty Quantification: Application to the Nasa Langley Multidisciplinary Uncertainty Quantification Challenge. in 16th AIAA Non-Deterministic Approaches Conference.
Patelli, E., Alvarez, D. A., Broggi, M., & de Angelis, M. (2014). An Integrated and Efficient Numerical Framework for Uncertainty Quantification: Application to the Nasa Langley Multidisciplinary Uncertainty Quantification Challenge. In 16th AIAA Non-Deterministic Approaches Conference
Patelli, Edoardo ; Alvarez, Diego A. ; Broggi, Matteo et al. / An Integrated and Efficient Numerical Framework for Uncertainty Quantification: Application to the Nasa Langley Multidisciplinary Uncertainty Quantification Challenge. 16th AIAA Non-Deterministic Approaches Conference. 2014.
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title = "An Integrated and Efficient Numerical Framework for Uncertainty Quantification: Application to the Nasa Langley Multidisciplinary Uncertainty Quantification Challenge",
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Download

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AU - Alvarez, Diego A.

AU - Broggi, Matteo

AU - de Angelis, Marco

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