Regularized ensemble Kalman methods for inverse problems
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Publication:781982
DOI10.1016/j.jcp.2020.109517zbMath1437.62116arXiv1910.01292OpenAlexW3023357741MaRDI QIDQ781982
Heng Xiao, Xin-Lei Zhang, Carlos A. Michelén Ströfer
Publication date: 21 July 2020
Published in: Journal of Computational Physics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1910.01292
Bayesian inference (62F15) Numerical optimization and variational techniques (65K10) Inverse problems for PDEs (35R30)
Related Items (14)
Ensemble Kalman method for learning turbulence models from indirect observation data ⋮ A multigrid/ensemble Kalman filter strategy for assimilation of unsteady flows ⋮ Data assimilation with soft constraints (DASC) through a generalized iterative ensemble smoother ⋮ Ensemble Gradient for Learning Turbulence Models from Indirect Observations ⋮ A Stabilization of a Continuous Limit of the Ensemble Kalman Inversion ⋮ Combining direct and indirect sparse data for learning generalizable turbulence models ⋮ Fourier series-based approximation of time-varying parameters in ordinary differential equations ⋮ A bi-fidelity ensemble Kalman method for PDE-constrained inverse problems in computational mechanics ⋮ Assimilation of disparate data for enhanced reconstruction of turbulent mean flows ⋮ DAFI: An Open-Source Framework for Ensemble-Based Data Assimilation and Field Inversion ⋮ DAFI ⋮ Ensemble Kalman inversion for sparse learning of dynamical systems from time-averaged data ⋮ Optimized parametric inference for the inner loop of the multigrid ensemble Kalman filter ⋮ Onset of wake meandering for a floating offshore wind turbine under side-to-side motion
Uses Software
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