Pages that link to "Item:Q2786519"
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The following pages link to PBDW state estimation: noisy observations; configuration-adaptive background spaces; physical interpretations (Q2786519):
Displaying 26 items.
- A model-data weak formulation for simultaneous estimation of state and model bias (Q392627) (← links)
- Sensor placement in nuclear reactors based on the generalized empirical interpolation method (Q1656628) (← links)
- Projection-based model reduction: formulations for physics-based machine learning (Q1739759) (← 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)
- At the crossroads of simulation and data analytics (Q2076004) (← links)
- Computational identification of adsorption and desorption parameters for pore scale transport in periodic porous media (Q2297099) (← links)
- On the stable sampling rate for binary measurements and wavelet reconstruction (Q2300752) (← links)
- 3D-VAR for parameterized partial differential equations: a certified reduced basis approach (Q2305535) (← links)
- Non-uniform recovery guarantees for binary measurements and infinite-dimensional compressed sensing (Q2658730) (← links)
- A real-time variational data assimilation method with data-driven model enrichment for time-dependent problems (Q2683454) (← links)
- An exact rescaling velocity method for some kinetic flocking models (Q2796856) (← links)
- A parameterized-background data-weak approach to variational data assimilation: formulation, analysis, and application to acoustics (Q2952707) (← links)
- The Discrete Empirical Interpolation Method: Canonical Structure and Formulation in Weighted Inner Product Spaces (Q3176354) (← links)
- An Adaptive Parametrized-Background Data-Weak approach to variational data assimilation (Q4602365) (← links)
- A Localization Strategy for Data Assimilation; Application to State Estimation and Parameter Estimation (Q4637672) (← links)
- Adaptive PBDW Approach to State Estimation: Noisy Observations; User-Defined Update Spaces (Q5230635) (← links)
- Data-Driven Reduced Model Construction with Time-Domain Loewner Models (Q5364198) (← links)
- Recovering Wavelet Coefficients from Binary Samples Using Fast Transforms (Q5864089) (← links)
- State estimation in nonlinear parametric time dependent systems using tensor train (Q6071444) (← links)
- A greedy sensor selection algorithm for hyperparameterized linear Bayesian inverse problems with correlated noise models (Q6146995) (← links)
- Dictionary-based model reduction for state estimation (Q6500167) (← 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)
