Pages that link to "Item:Q2952707"

The following pages link to A parameterized-background data-weak approach to variational data assimilation: formulation, analysis, and application to acoustics (Q2952707):

Displaying 50 items.

• Reduced modeling of unknown trajectories (Q1639588) (← links)
• Sensor placement in nuclear reactors based on the generalized empirical interpolation method (Q1656628) (← links)
• Data assimilation and sampling in Banach spaces (Q1675437) (← links)
• The generalized empirical interpolation method: stability theory on Hilbert spaces with an application to the Stokes equation (Q1800213) (← links)
• PBDW: a non-intrusive reduced basis data assimilation method and its application to an urban dispersion modeling framework (Q1985176) (← links)
• Fast reconstruction of 3D blood flows from Doppler ultrasound images and reduced models (Q2022044) (← links)
• Reducing sensors for transient heat transfer problems by means of variational data assimilation (Q2023447) (← links)
• Model reduction and neural networks for parametric PDEs (Q2050400) (← 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)
• mCRE-based parameter identification from full-field measurements: consistent framework, integrated version, and extension to nonlinear material behaviors (Q2083102) (← links)
• Reduced order model of standard \(k\)-\(\epsilon\) turbulence model (Q2166593) (← links)
• Continuous data assimilation reduced order models of fluid flow (Q2179211) (← 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)
• Sampling and reconstruction in distinct subspaces using oblique projections (Q2420243) (← links)
• Non-uniform recovery guarantees for binary measurements and infinite-dimensional compressed sensing (Q2658730) (← links)
• A one-shot overlapping Schwarz method for component-based model reduction: application to nonlinear elasticity (Q2678518) (← links)
• Deep learning-enhanced ensemble-based data assimilation for high-dimensional nonlinear dynamical systems (Q2681144) (← links)
• A real-time variational data assimilation method with data-driven model enrichment for time-dependent problems (Q2683454) (← links)
• Optimal recovery from inaccurate data in Hilbert spaces: regularize, but what of the parameter? (Q2700872) (← links)
• Convergence analysis of the generalized empirical interpolation method (Q2814454) (← links)
• Special Issue on Model Reduction (Q2952706) (← links)
• A reduced basis Kalman filter for parametrized partial differential equations (Q2994666) (← links)
• The Discrete Empirical Interpolation Method: Canonical Structure and Formulation in Weighted Inner Product Spaces (Q3176354) (← links)
• On Reconstructing Functions from Binary Measurements (Q3296176) (← links)
• Optimal Reduced Model Algorithms for Data-Based State Estimation (Q3386988) (← links)
• Linear reconstructions and the analysis of the stable sampling rate (Q4631279) (← links)
• A Localization Strategy for Data Assimilation; Application to State Estimation and Parameter Estimation (Q4637672) (← links)
• Greedy Algorithms for Optimal Measurements Selection in State Estimation Using Reduced Models (Q4689167) (← links)
• A Multifidelity Ensemble Kalman Filter with Reduced Order Control Variates (Q4997361) (← links)
• Nonlinear methods for model reduction (Q5006316) (← links)
• Accuracy controlled data assimilation for parabolic problems (Q5029465) (← links)
• Kernel representation of Kalman observer and associated <i>H</i>-matrix based discretization (Q5060164) (← links)
• State Estimation with Model Reduction and Shape Variability. Application to biomedical problems (Q5088772) (← links)
• Nonlinear Reduced DNN Models for State Estimation (Q5095220) (← links)
• A Time-Dependent Parametrized Background Data-Weak Approach (Q5152799) (← links)
• A Sequential Sensor Selection Strategy for Hyper-Parameterized Linear Bayesian Inverse Problems (Q5152842) (← links)
• Weak-Type Estimates for the Metaplectic Representation Restricted to the Shearing and Dilation Subgroup of $$SL(2,\mathbb {R})$$ (Q5230192) (← links)
• Adaptive PBDW Approach to State Estimation: Noisy Observations; User-Defined Update Spaces (Q5230635) (← links)
• Data Assimilation in Reduced Modeling (Q5269851) (← links)
• Nonlinear Reduced Models for State and Parameter Estimation (Q5862904) (← links)
• Recovering Wavelet Coefficients from Binary Samples Using Fast Transforms (Q5864089) (← links)
• Nonlinear approximation spaces for inverse problems (Q5873933) (← links)
• An efficient data-driven multiscale stochastic reduced order modeling framework for complex systems (Q6048418) (← links)
• Efficient and accurate nonlinear model reduction via first-order empirical interpolation (Q6087928) (← links)
• 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)