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03/31/2022
Stein-based preconditioners for weak-constraint 4D-var
Algorithms for data assimilation try to predict the most likely state of...
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11/25/2021
Model Reduction of Linear Dynamical Systems via Balancing for Bayesian Inference
We consider the Bayesian approach to the linear Gaussian inference probl...
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05/14/2021
Saddle point preconditioners for weak-constraint 4D-Var
Data assimilation algorithms combine information from observations and p...
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10/16/2020
The conditioning of least squares problems in preconditioned variational data assimilation
Data assimilation algorithms combine prior and observational information...
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10/25/2018