Multifidelity Monte Carlo estimation for large-scale uncertainty propagation

One important task of uncertainty quantification is propagating input uncertainties through a system of interest to quantify the uncertainties' effects on the system outputs; however, numerical methods for uncertainty propagation are often based on Monte Carlo estimation, which can require larg...

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Bibliographic Details
Main Authors: Peherstorfer, Benjamin (Author), Beran, Philip S. (Author), Willcox, Karen E (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics (Contributor)
Format: Article
Language:English
Published: American Institute of Aeronautics and Astronautics, 2018-04-23T14:05:51Z.
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Online Access:Get fulltext

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