Pages that link to "Item:Q2808259"

The following pages link to A survey of projection-based model reduction methods for parametric dynamical systems (Q2808259):

Displaying 50 items.

• A model reduction approach for inverse problems with operator valued data (Q2049926) (← links)
• Operator inference of non-Markovian terms for learning reduced models from partially observed state trajectories (Q2050562) (← links)
• Data-driven reduced order modeling based on tensor decompositions and its application to air-wall heat transfer in buildings (Q2059136) (← links)
• POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition (Q2060079) (← links)
• Derivative-informed projected neural networks for high-dimensional parametric maps governed by PDEs (Q2060092) (← links)
• Goal-oriented model reduction for parametrized time-dependent nonlinear partial differential equations (Q2060100) (← links)
• Reduced order models for Lagrangian hydrodynamics (Q2060169) (← links)
• Non-intrusive data-driven model reduction for differential-algebraic equations derived from lifting transformations (Q2072439) (← links)
• Multi-fidelity regression using artificial neural networks: efficient approximation of parameter-dependent output quantities (Q2072477) (← links)
• A non-intrusive model order reduction approach for parameterized time-domain Maxwell's equations (Q2083308) (← links)
• A POD-RBF-FD scheme for simulating chemotaxis models on surfaces (Q2085924) (← links)
• Reduced-order modeling via proper generalized decomposition for uncertainty quantification of frequency response functions (Q2096868) (← links)
• Local Lagrangian reduced-order modeling for the Rayleigh-Taylor instability by solution manifold decomposition (Q2099719) (← links)
• Deep-HyROMnet: a deep learning-based operator approximation for hyper-reduction of nonlinear parametrized PDEs (Q2103427) (← links)
• Model reduction of convection-dominated partial differential equations via optimization-based implicit feature tracking (Q2106952) (← links)
• Model order reduction of linear and bilinear systems via low-rank Gramian approximation (Q2109435) (← links)
• Multiresolution convolutional autoencoders (Q2112504) (← links)
• Lagrangian dynamic mode decomposition for construction of reduced-order models of advection-dominated phenomena (Q2122715) (← links)
• Using deep learning to extend the range of air pollution monitoring and forecasting (Q2123348) (← links)
• Non-linearly stable reduced-order models for incompressible flow with energy-conserving finite volume methods (Q2123750) (← links)
• Entropy stable reduced order modeling of nonlinear conservation laws (Q2123823) (← links)
• Non-intrusive reduced-order modeling using uncertainty-aware deep neural networks and proper orthogonal decomposition: application to flood modeling (Q2123910) (← links)
• Data-driven modeling of two-dimensional detonation wave fronts (Q2124122) (← links)
• Learning nonlinear turbulent dynamics from partial observations via analytically solvable conditional statistics (Q2124589) (← links)
• Mesoscale informed parameter estimation through machine learning: a case-study in fracture modeling (Q2125026) (← links)
• Windowed least-squares model reduction for dynamical systems (Q2127002) (← links)
• A greedy non-intrusive reduced order model for shallow water equations (Q2129263) (← links)
• A data-driven, physics-informed framework for forecasting the spatiotemporal evolution of chaotic dynamics with nonlinearities modeled as exogenous forcings (Q2129328) (← links)
• A POD-Galerkin reduced order model for a LES filtering approach (Q2131062) (← links)
• An EIM-degradation free reduced basis method via over collocation and residual hyper reduction-based error estimation (Q2132633) (← links)
• Physics-informed machine learning for reduced-order modeling of nonlinear problems (Q2133556) (← links)
• A reduced order method for nonlinear parameterized partial differential equations using dynamic mode decomposition coupled with \(k\)-nearest-neighbors regression (Q2133585) (← links)
• Meta-mgnet: meta multigrid networks for solving parameterized partial differential equations (Q2133752) (← links)
• A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder (Q2134764) (← links)
• Multilinear POD-DEIM model reduction for 2D and 3D semilinear systems of differential equations (Q2136223) (← links)
• Simulation of the 3D hyperelastic behavior of ventricular myocardium using a finite-element based neural-network approach (Q2136715) (← links)
• Neural network training using \(\ell_1\)-regularization and bi-fidelity data (Q2138992) (← links)
• A low rank tensor representation of linear transport and nonlinear Vlasov solutions and their associated flow maps (Q2139008) (← links)
• Unsteady physics-based reduced order modeling for large-scale compressible aerodynamic applications (Q2139580) (← links)
• Model reduction of linear dynamical systems via balancing for Bayesian inference (Q2144962) (← links)
• Interpolatory tensorial reduced order models for parametric dynamical systems (Q2145123) (← links)
• On the stability of POD basis interpolation on Grassmann manifolds for parametric model order reduction (Q2150268) (← links)
• A hyper-reduced MAC scheme for the parametric Stokes and Navier-Stokes equations (Q2157141) (← links)
• Model order reduction method based on (r)POD-ANNs for parameterized time-dependent partial differential equations (Q2158140) (← links)
• A multi-fidelity ensemble Kalman filter with hyperreduced reduced-order models (Q2160470) (← links)
• Retracted: Model order reduction method based on machine learning for parameterized time-dependent partial differential equations (Q2161825) (← links)
• Model order reduction for compressible flows solved using the discontinuous Galerkin methods (Q2168284) (← links)
• Iterative PGD model reduction for the strongly-coupled thermomechanical analysis of crack propagation in power electronic modules (Q2171492) (← links)
• Index-aware model-order reduction for a special class of nonlinear differential-algebraic equations (Q2172795) (← links)
• A conditioning technique for projection-based reduced order models (Q2174138) (← links)