Jemima M. Tabeart

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 8

Top Topics

Convex Optimization

Bayesian Inference

Condition Number

Top Venues

Numer. Linear Algebra Appl.

J. Comput. Phys.

J. Sci. Comput.

Publications

Davide Palitta, Jemima M. Tabeart
Stein-based preconditioners for weak-constraint 4D-var. J. Comput. Phys. 482 (2023)
Jemima M. Tabeart, Sarah L. Dance, Amos S. Lawless, Nancy K. Nichols, Joanne A. Waller
New bounds on the condition number of the Hessian of the preconditioned variational data assimilation problem. Numer. Linear Algebra Appl. 29 (1) (2022)
Davide Palitta, Jemima M. Tabeart
Stein-based preconditioners for weak-constraint 4D-var. CoRR (2022)
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. J. Sci. Comput. 91 (1) (2022)
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 (2021)
Jemima M. Tabeart, John W. Pearson
Saddle point preconditioners for weak-constraint 4D-Var. CoRR (2021)
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 (2020)
Jemima M. Tabeart, Sarah L. Dance, Stephen A. Haben, Amos S. Lawless, Nancy K. Nichols, Joanne A. Waller
The conditioning of least-squares problems in variational data assimilation. Numer. Linear Algebra Appl. 25 (5) (2018)