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Adrian Sandu

Virginia Tech
Michigan Technological University

388

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Multifidelity Data Assimilation for Physical Systems

2022
- Andrey A Popov
- Adrian Sandu
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Physics-informed neural networks for PDE-constrained optimization and control.

2022 CoRR
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A unified formulation of splitting-based implicit time integration schemes.

2022 J. Comput. Phys.
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Eliminating Order Reduction on Linear, Time-Dependent ODEs with GARK Methods.

2022 CoRR
- Steven Roberts
- Adrian Sandu
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A Stochastic Covariance Shrinkage Approach to Particle Rejuvenation in the Ensemble Transform Particle Filter.

2021
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A unified formulation of splitting-based implicit time integration schemes

2021 arXiv: Numerical Analysis
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Investigation of Nonlinear Model Order Reduction of the Quasigeostrophic Equations through a Physics-Informed Convolutional Autoencoder.

2021 arXiv: Learning
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Adjoint-Matching Neural Network Surrogates for Fast 4D-Var Data Assimilation.

2021 arXiv: Learning
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Multirate Linearly-Implicit GARK Schemes.

2021 arXiv: Numerical Analysis
- Michael Günther
- Adrian Sandu
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Multifidelity Ensemble Kalman Filtering using surrogate models defined by Physics-Informed Autoencoders

2021 arXiv: Optimization and Control
- Andrey A Popov
- Adrian Sandu
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Citations (3)