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 large num...
| Autori principali: | , , |
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| Natura: | Articolo |
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American Institute of Aeronautics and Astronautics
2018
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| Accesso online: | http://hdl.handle.net/1721.1/114856 https://orcid.org/0000-0003-2156-9338 |