A Localization Strategy for Data Assimilation; Application to State Estimation and Parameter Estimation

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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Bibliographic Details
Main Authors:	Taddei, Tommaso, Patera, Anthony T
Other Authors:	Massachusetts Institute of Technology. Department of Mechanical Engineering
Format:	Article
Published:	Society for Industrial & Applied Mathematics (SIAM) 2019
Online Access:	http://hdl.handle.net/1721.1/120354 https://orcid.org/0000-0002-2631-6463

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