Surrogate Modeling for Uncertainty Assessment with Application to Aviation Environmental System Models
Numerical simulation models to support decision-making and policy-making processes are often complex, involving many disciplines, many inputs, and long computation times. Inputs to such models are inherently uncertain, leading to uncertainty in model outputs. Characterizing, propagating, and analy...
| Main Authors: | , |
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| Format: | Article |
| Language: | en_US |
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American Institute of Aeronautics and Astronautics
2011
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| Online Access: | http://hdl.handle.net/1721.1/61706 https://orcid.org/0000-0003-2156-9338 |