Fast convergence strategy for ambiguous inverse problems based on hierarchical regularization

DOI10.1016/j.jcp.2023.112264OpenAlexW4379233273MaRDI QIDQ6107104

Patrick Jenny, Franca Schmid, Robert Epp

Publication date: 3 July 2023

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jcp.2023.112264

zbMATH Keywords

parameter estimationinverse problemdata assimilationGauss-Newton methodadjoint methodhierarchical regularization

Mathematics Subject Classification ID

Linear inference, regression (62Jxx) Basic methods in fluid mechanics (76Mxx) Numerical linear algebra (65Fxx)

Related Items (1)

Dimensionality reduction for regularization of sparse data-driven RANS simulations

Cites Work

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• Optimum aerodynamic design using the Navier-Stokes equations
• Efficient assimilation of sparse data into RANS-based turbulent flow simulations using a discrete adjoint method
• Data Assimilation
• Boundary control in computational haemodynamics

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