Pages that link to "Item:Q2952707"
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The following pages link to A parameterized-background data-weak approach to variational data assimilation: formulation, analysis, and application to acoustics (Q2952707):
Displaying 13 items.
- Displacement and Pressure Reconstruction from Magnetic Resonance Elastography Images: Application to an In Silico Brain Model (Q6113275) (← links)
- A component-based data assimilation strategy with applications to vascular flows (Q6127049) (← links)
- Impact of physical model error on state estimation for neutronics applications (Q6127054) (← links)
- A greedy sensor selection algorithm for hyperparameterized linear Bayesian inverse problems with correlated noise models (Q6146995) (← links)
- Reduced order modeling for elliptic problems with high contrast diffusion coefficients (Q6189268) (← links)
- Dictionary-based model reduction for state estimation (Q6500167) (← links)
- An empirical interpolation method for two-dimensional vector fields and vector measurements (Q6555527) (← links)
- Validation by Monte Carlo sampling of experimental observation functionals (Q6557530) (← links)
- Model reduction from partial observations (Q6565196) (← links)
- Inverse problems: a deterministic approach using physics-based reduced models (Q6629173) (← links)
- Statistical variational data assimilation (Q6643561) (← links)
- A new reduced basis method for parabolic equations based on single-eigenvalue acceleration (Q6645089) (← links)
- Non-intrusive reduced basis two-grid method for flow and transport problems in heterogeneous porous media (Q6653576) (← links)