On Bayesian data assimilation for PDEs with ill-posed forward problems

DOI10.1088/1361-6420/ac7acdzbMath1495.35206arXiv2107.07593OpenAlexW4283275932WikidataQ114096858 ScholiaQ114096858MaRDI QIDQ5089412

Franziska Weber, Siddhartha Mishra, Samuel Lanthaler

Publication date: 19 July 2022

Published in: Inverse Problems (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2107.07593

zbMATH Keywords

numerical discretizationdata assimilationfluid dynamicsBayesian filteringBayesian inversion

Mathematics Subject Classification ID

Ill-posed problems for PDEs (35R25) Inverse problems for PDEs (35R30) Navier-Stokes equations (35Q30) Initial-boundary value problems for nonlinear higher-order PDEs (35G31)

Related Items

Bayesian Inverse Problems Are Usually Well-Posed

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