Parameter estimation for complex thermal-fluid flows using approximate Bayesian computation
| Autor: | Ian Grooms, Jason D. Christopher, Torrey R. S. Hayden, Caelan Lapointe, Nicholas T. Wimer, Peter E. Hamlington, Gregory B. Rieker |
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| Rok vydání: | 2018 |
| Předmět: |
Fluid Flow and Transfer Processes
010504 meteorology & atmospheric sciences Estimation theory Computer science 0208 environmental biotechnology Computational Mechanics 02 engineering and technology 01 natural sciences Statistics::Computation 020801 environmental engineering Physics::Fluid Dynamics Modeling and Simulation Thermal Applied mathematics Approximate Bayesian computation 0105 earth and related environmental sciences |
| Zdroj: | Physical Review Fluids. 3 |
| ISSN: | 2469-990X |
| DOI: | 10.1103/physrevfluids.3.104602 |
| Popis: | Approximate Bayesian Computation (ABC) is used to estimate unknown physical parameters in complex thermal-fluid flows. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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