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...
Main Authors: | Peherstorfer, Benjamin (Author), Beran, Philip S. (Author), Willcox, Karen E (Contributor) |
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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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Subjects: | |
Online Access: | Get fulltext |
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