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Amit N. Subrahmanya

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2024
[i5]
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  - journals/corr/abs-2401-15758
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Amit N. Subrahmanya, Vishwas Rao, Arvind K. Saibaba:
Randomized Preconditioned Solvers for Strong Constraint 4D-Var Data Assimilation. CoRR abs/2401.15758 (2024)
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  - journals/corr/abs-2405-04380
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Amit N. Subrahmanya, Andrey A. Popov, Reid Gomillion, Adrian Sandu:
Preserving Nonlinear Constraints in Variational Flow Filtering Data Assimilation. CoRR abs/2405.04380 (2024)
2021
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  - journals/corr/abs-2109-09673
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Andrey A. Popov, Amit N. Subrahmanya, Adrian Sandu:
A Stochastic Covariance Shrinkage Approach to Particle Rejuvenation in the Ensemble Transform Particle Filter. CoRR abs/2109.09673 (2021)
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  - journals/corr/abs-2111-08626
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Austin Chennault, Andrey A. Popov, Amit N. Subrahmanya, Rachel Cooper, Anuj Karpatne, Adrian Sandu:
Adjoint-Matching Neural Network Surrogates for Fast 4D-Var Data Assimilation. CoRR abs/2111.08626 (2021)
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  - journals/corr/abs-2111-13926
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Amit N. Subrahmanya, Andrey A. Popov, Adrian Sandu:
An Ensemble Variational Fokker-Planck Method for Data Assimilation. CoRR abs/2111.13926 (2021)

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