Pages that link to "Item:Q350095"

The following pages link to POD/DEIM reduced-order strategies for efficient four dimensional variational data assimilation (Q350095):

Displaying 50 items.

• Strong and weak constraint variational assimilations for reduced order fluid flow modeling (Q417858) (← links)
• Reduced order modeling based on POD of a parabolized Navier-Stokes equations model II: trust region POD 4D VAR data assimilation (Q493400) (← links)
• Parameterised non-intrusive reduced order methods for ensemble Kalman filter data assimilation (Q1626167) (← links)
• Reduced modeling of unknown trajectories (Q1639588) (← links)
• A combination of proper orthogonal decomposition-discrete empirical interpolation method (POD-DEIM) and meshless local RBF-DQ approach for prevention of groundwater contamination (Q1732407) (← links)
• Incremental proper orthogonal decomposition for PDE simulation data (Q1732462) (← links)
• Reduced order modeling for physically-based augmented reality (Q1986606) (← links)
• Data-driven variational multiscale reduced order models (Q2020754) (← 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)
• Intrusive and data-driven reduced order modelling of the rotating thermal shallow water equation (Q2079107) (← links)
• Study on dynamic behaviors of rotor model with coupling faults and applications of TPOD method (Q2089138) (← links)
• Feasibility of DEIM for retrieving the initial field via dimensionality reduction (Q2120024) (← links)
• Model and data reduction for data assimilation: particle filters employing projected forecasts and data with application to a shallow water model (Q2147287) (← links)
• A multi-fidelity ensemble Kalman filter with hyperreduced reduced-order models (Q2160470) (← links)
• Continuous data assimilation reduced order models of fluid flow (Q2179211) (← links)
• Parametric nonlinear model reduction using \(K\)-means clustering for miscible flow simulation (Q2217993) (← links)
• 3D-VAR for parameterized partial differential equations: a certified reduced basis approach (Q2305535) (← links)
• On the convergence of data assimilation for the one-dimensional shallow water equations with sparse observations (Q2305566) (← links)
• Approximate deconvolution reduced order modeling (Q2308763) (← links)
• A parameterized non-intrusive reduced order model and error analysis for general time-dependent nonlinear partial differential equations and its applications (Q2309058) (← links)
• Evaluation of Galerkin and Petrov-Galerkin model reduction for finite element approximations of the shallow water equations (Q2309775) (← links)
• A matrix DEIM technique for model reduction of nonlinear parametrized problems in cardiac mechanics (Q2309983) (← links)
• Model adaptivity for goal-oriented inference using adjoints (Q2310693) (← links)
• A note on incremental POD algorithms for continuous time data (Q2311810) (← links)
• Non-intrusive reduced order modelling of fluid-structure interactions (Q2417619) (← links)
• A real-time variational data assimilation method with data-driven model enrichment for time-dependent problems (Q2683454) (← links)
• A globally convergent method to accelerate large-scale optimization using on-the-fly model hyperreduction: application to shape optimization (Q2699379) (← links)
• Variational assimilation of POD low-order dynamical systems (Q2853802) (← links)
• A dual-weighted trust-region adaptive POD 4-D var applied to a finite-volume shallow water equations model on the sphere (Q2893575) (← links)
• A dual-weighted trust-region adaptive POD 4D-VAR applied to a finite-element shallow-water equations model (Q3069973) (← links)
• Reduced Order Modeling for Time-Dependent Optimization Problems with Initial Value Controls (Q3130399) (← links)
• (Q3385417) (← links)
• Efficiency of a POD-based reduced second-order adjoint model in 4D-Var data assimilation (Q3422078) (← links)
• A reduced-order approach to four-dimensional variational data assimilation using proper orthogonal decomposition (Q3437052) (← links)
• A reduced-order simulated annealing approach for four-dimensional variational data assimilation in meteorology and oceanography (Q3543426) (← links)
• Data-Driven Filtered Reduced Order Modeling of Fluid Flows (Q4568096) (← links)
• Calibration of reduced-order model for a coupled Burgers equations based on PC-EnKF (Q4615575) (← links)
• A Multifidelity Ensemble Kalman Filter with Reduced Order Control Variates (Q4997361) (← links)
• Efficiency of randomised dynamic mode decomposition for reduced order modelling (Q5031486) (← links)
• (Q5123975) (← links)
• Learning physics-based models from data: perspectives from inverse problems and model reduction (Q5887831) (← links)
• An efficient data-driven multiscale stochastic reduced order modeling framework for complex systems (Q6048418) (← links)
• Numerical linear algebra in data assimilation (Q6068266) (← links)
• State estimation in nonlinear parametric time dependent systems using tensor train (Q6071444) (← links)
• A reduced order with data assimilation model: theory and practice (Q6100085) (← links)
• Accelerating inverse inference of ensemble Kalman filter via reduced-order model trained using adaptive sparse observations (Q6117701) (← links)
• Four-dimensional variational data assimilation of a turbulent jet for super-temporal-resolution reconstruction (Q6145701) (← links)
• Uniform bounds with difference quotients for proper orthogonal decomposition reduced order models of the Burgers equation (Q6159307) (← links)
• Variational data assimilation and its decoupled iterative numerical algorithms for Stokes-Darcy model (Q6491441) (← links)