Pages that link to "Item:Q2305535"
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The following pages link to 3D-VAR for parameterized partial differential equations: a certified reduced basis approach (Q2305535):
Displaying 14 items.
- Attention-based convolutional autoencoders for 3D-variational data assimilation (Q2020890) (← links)
- Reducing sensors for transient heat transfer problems by means of variational data assimilation (Q2023447) (← links)
- Reduced basis approximation and a posteriori error bounds for 4D-Var data assimilation (Q2071421) (← links)
- Error analysis of proper orthogonal decomposition data assimilation schemes with grad-div stabilization for the Navier-Stokes equations (Q2141571) (← links)
- A multi-fidelity ensemble Kalman filter with hyperreduced reduced-order models (Q2160470) (← links)
- Stabilization of generalized empirical interpolation method (GEIM) in presence of noise: a novel approach based on Tikhonov regularization (Q2678500) (← links)
- A real-time variational data assimilation method with data-driven model enrichment for time-dependent problems (Q2683454) (← links)
- A parameterized-background data-weak approach to variational data assimilation: formulation, analysis, and application to acoustics (Q2952707) (← links)
- A Sequential Sensor Selection Strategy for Hyper-Parameterized Linear Bayesian Inverse Problems (Q5152842) (← links)
- State estimation in nonlinear parametric time dependent systems using tensor train (Q6071444) (← links)
- A Fast and Scalable Computational Framework for Large-Scale High-Dimensional Bayesian Optimal Experimental Design (Q6109162) (← links)
- A greedy sensor selection algorithm for hyperparameterized linear Bayesian inverse problems with correlated noise models (Q6146995) (← links)
- An empirical interpolation method for two-dimensional vector fields and vector measurements (Q6555527) (← links)
- Inverse problems: a deterministic approach using physics-based reduced models (Q6629173) (← links)
