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Jemima M. Tabeart
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2020 – today
- 2023
- [j4]Davide Palitta
, Jemima M. Tabeart
Stein-based preconditioners for weak-constraint 4D-var. J. Comput. Phys. 482: 112068 (2023) - 2022
- [j3]Elizabeth Qian
Model Reduction of Linear Dynamical Systems via Balancing for Bayesian Inference. J. Sci. Comput. 91(1): 29 (2022) - [j2]Jemima M. Tabeart
New bounds on the condition number of the Hessian of the preconditioned variational data assimilation problem. Numer. Linear Algebra Appl. 29(1) (2022) - [i4]Davide Palitta, Jemima M. Tabeart
Stein-based preconditioners for weak-constraint 4D-var. CoRR abs/2203.17184 (2022) - 2021
- [i3]Jemima M. Tabeart
Saddle point preconditioners for weak-constraint 4D-Var. CoRR abs/2105.06975 (2021) - [i2]Elizabeth Qian, Jemima M. Tabeart, Christopher Beattie, Serkan Gugercin, Jiahua Jiang, Peter R. Kramer, Akil Narayan:
Model Reduction of Linear Dynamical Systems via Balancing for Bayesian Inference. CoRR abs/2111.13246 (2021) - 2020
- [i1]Jemima M. Tabeart, Sarah L. Dance, Amos S. Lawless, Nancy K. Nichols, Joanne A. Waller:
The conditioning of least squares problems in preconditioned variational data assimilation. CoRR abs/2010.08416 (2020)
2010 – 2019
- 2018
- [j1]Jemima M. Tabeart
The conditioning of least-squares problems in variational data assimilation. Numer. Linear Algebra Appl. 25(5) (2018)
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