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.

• Hierarchical model reduction driven by machine learning for parametric advection-diffusion-reaction problems in the presence of noisy data (Q6101876) (← links)
• The p-AAA Algorithm for Data-Driven Modeling of Parametric Dynamical Systems (Q6108167) (← links)
• Context-Aware Surrogate Modeling for Balancing Approximation and Sampling Costs in Multifidelity Importance Sampling and Bayesian Inverse Problems (Q6109165) (← links)
• A structure-preserving neural differential operator with embedded Hamiltonian constraints for modeling structural dynamics (Q6109265) (← links)
• An Adaptive Non-Intrusive Multi-Fidelity Reduced Basis Method for Parameterized Partial Differential Equations (Q6110109) (← links)
• Parallel model order reduction based on block discrete Fourier transform and Krylov subspace for parametric systems (Q6111217) (← links)
• HJB-RBF based approach for the control of PDEs (Q6111400) (← links)
• Front transport reduction for complex moving fronts (Q6111405) (← links)
• Active Operator Inference for Learning Low-Dimensional Dynamical-System Models from Noisy Data (Q6113944) (← links)
• \textit{FastSVD-ML-ROM}: a reduced-order modeling framework based on machine learning for real-time applications (Q6116133) (← links)
• Model Order Reduction in Contour Integral Methods for Parametric PDEs (Q6116391) (← links)
• Parsimony as the ultimate regularizer for physics-informed machine learning (Q6117148) (← links)
• Neural Galerkin schemes with active learning for high-dimensional evolution equations (Q6117685) (← links)
• Accelerating inverse inference of ensemble Kalman filter via reduced-order model trained using adaptive sparse observations (Q6117701) (← links)
• Probabilistic-learning-based stochastic surrogate model from small incomplete datasets for nonlinear dynamical systems (Q6118558) (← links)
• Non-intrusive data-driven reduced-order modeling for time-dependent parametrized problems (Q6119246) (← links)
• Well‐scaled, a‐posteriori error estimation for model order reduction of large second‐order mechanical systems (Q6121497) (← links)
• Automatic proper orthogonal block decomposition method for network dynamical systems with multiple timescales (Q6121846) (← links)
• Inverse parameter estimation using compressed sensing and POD-RBF reduced order models (Q6125474) (← links)
• Operator inference with roll outs for learning reduced models from scarce and low-quality data (Q6135185) (← links)
• A reduced Galerkin finite element formulation based on proper orthogonal decomposition for the generalized KDV-RLW-Rosenau equation (Q6142199) (← links)
• Reduced-order model-based variational inference with normalizing flows for Bayesian elliptic inverse problems (Q6145183) (← links)
• A greedy sensor selection algorithm for hyperparameterized linear Bayesian inverse problems with correlated noise models (Q6146995) (← links)
• Two‐sided Krylov enhanced proper orthogonal decomposition methods for partial differential equations with variable coefficients (Q6147896) (← links)
• Multi‐fidelity error estimation accelerates greedy model reduction of complex dynamical systems (Q6148533) (← links)
• An incremental singular value decomposition approach for large-scale spatially parallel \& distributed but temporally serial data -- applied to technical flows (Q6151883) (← links)
• Data-driven structure-preserving model reduction for stochastic Hamiltonian systems (Q6152181) (← links)
• Modular model reduction of interconnected systems: a robust performance analysis perspective (Q6152544) (← links)
• Data-Driven and Low-Rank Implementations of Balanced Singular Perturbation Approximation (Q6154963) (← links)
• Double diffusion maps and their latent harmonics for scientific computations in latent space (Q6158080) (← links)
• A data-driven model reduction method for parabolic inverse source problems and its convergence analysis (Q6158111) (← links)
• An artificial neural network approach to bifurcating phenomena in computational fluid dynamics (Q6158472) (← links)
• Fast solution of the linearized Poisson-Boltzmann equation with nonaffine parametrized boundary conditions using the reduced basis method (Q6163826) (← links)
• On the reduction of nonlinear electromechanical systems (Q6171406) (← links)
• A data-driven and model-based accelerated Hamiltonian Monte Carlo method for Bayesian elliptic inverse problems (Q6172145) (← links)
• MWCAWE: a multivariate WCAWE approach for parametric model order reduction, and a sampling strategy for the bivariate case (Q6173352) (← links)
• Waveform Inversion with a Data Driven Estimate of the Internal Wave (Q6173524) (← links)
• Nonintrusive Reduced-Order Models for Parametric Partial Differential Equations via Data-Driven Operator Inference (Q6175122) (← links)
• An adaptive space and time method in partially explicit splitting scheme for multiscale flow problems (Q6176653) (← links)
• Rigorous data‐driven computation of spectral properties of Koopman operators for dynamical systems (Q6180710) (← links)
• A nonlinear-manifold reduced-order model and operator learning for partial differential equations with sharp solution gradients (Q6185246) (← links)
• Fast and scalable computation of shape-morphing nonlinear solutions with application to evolutional neural networks (Q6187618) (← links)
• A hybrid projection/data-driven reduced order model for the Navier-Stokes equations with nonlinear filtering stabilization (Q6187705) (← links)
• An Efficient Block Rational Krylov Solver for Sylvester Equations with Adaptive Pole Selection (Q6195012) (← links)
• Projection-based reduced order models for parameterized nonlinear time-dependent problems arising in cardiac mechanics (Q6195566) (← links)
• Rational-approximation-based model order reduction of Helmholtz frequency response problems with adaptive finite element snapshots (Q6195619) (← links)
• A model reduction method for parametric dynamical systems defined on complex geometries (Q6498464) (← links)
• An adaptive partitioned reduced order model of peridynamics for efficient static fracture simulation (Q6540115) (← links)
• Stochastic model corrections for reduced Lotka-Volterra models exhibiting mutual, commensal, competitive, and predatory interactions (Q6543716) (← links)
• A pressure-free long-time stable reduced-order model for two-dimensional Rayleigh-Bénard convection (Q6545632) (← links)