A Localization Strategy for Data Assimilation; Application to State Estimation and Parameter Estimation
We present a localization procedure for addressing data assimilation tasks-state estimation and parameter estimation-in which the quantity of interest pertains to a subregion of the domain over which the mathematical model is properly defined. Given the domain Ω[superscript pb] associated with the f...
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| Format: | Article |
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Society for Industrial & Applied Mathematics (SIAM)
2019
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| Online Access: | http://hdl.handle.net/1721.1/120354 https://orcid.org/0000-0002-2631-6463 |