The following pages link to redbKIT (Q24900):
Displaying 50 items.
- Hyper-reduced order models for parametrized unsteady Navier-Stokes equations on domains with variable shape (Q2305538) (← links)
- Commutation error in reduced order modeling of fluid flows (Q2305543) (← links)
- Randomized linear algebra for model reduction. I. Galerkin methods and error estimation (Q2305558) (← links)
- A reduced basis for a local high definition wind model (Q2308673) (← links)
- Approximate deconvolution reduced order modeling (Q2308763) (← links)
- Numerical solution of the parameterized steady-state Navier-Stokes equations using empirical interpolation methods (Q2309030) (← 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)
- Numerical solutions of stochastic PDEs driven by arbitrary type of noise (Q2328016) (← links)
- Reduced collocation method for time-dependent parametrized partial differential equations (Q2330394) (← links)
- Structure-preserving model-reduction of dissipative Hamiltonian systems (Q2333680) (← links)
- Tensor representation of non-linear models using cross approximations (Q2333682) (← links)
- Reduced basis approaches for parametrized bifurcation problems held by non-linear von Kármán equations (Q2333688) (← links)
- A new algorithm for high-dimensional uncertainty quantification based on dimension-adaptive sparse grid approximation and reduced basis methods (Q2374649) (← links)
- Sparse-grid, reduced-basis Bayesian inversion: nonaffine-parametric nonlinear equations (Q2375242) (← links)
- Reduced basis ANOVA methods for partial differential equations with high-dimensional random inputs (Q2375274) (← links)
- Reduced basis methods with adaptive snapshot computations (Q2400481) (← links)
- QTT-finite-element approximation for multiscale problems. I: Model problems in one dimension (Q2400487) (← links)
- Derivative-extended time domain reduction for coupled systems using Chebyshev expansion (Q2403899) (← links)
- Numerical analysis of the Leray reduced order model (Q2406288) (← links)
- On a new family of radial basis functions: mathematical analysis and applications to option pricing (Q2406292) (← links)
- Proper orthogonal decomposition reduced-order extrapolation continuous space-time finite element method for the two-dimensional unsteady Stokes equation (Q2633727) (← links)
- Non-intrusive reduced-order modeling for uncertainty quantification of space-time-dependent parameterized problems (Q2656003) (← links)
- A hybrid reduced order method for modelling turbulent heat transfer problems (Q2664048) (← links)
- A training set subsampling strategy for the reduced basis method (Q2666028) (← links)
- Hierarchical model reduction driven by a proper orthogonal decomposition for parametrized advection-diffusion-reaction problems (Q2672171) (← links)
- Surrogate convolutional neural network models for steady computational fluid dynamics simulations (Q2672202) (← links)
- Finite element approximation of wave problems with correcting terms based on training artificial neural networks with fine solutions (Q2674053) (← links)
- Minimally-invasive parametric model-order reduction for sweep-based radiation transport (Q2675593) (← links)
- A DEIM driven reduced basis method for the diffuse Stokes/Darcy model coupled at parametric phase-field interfaces (Q2677375) (← links)
- A reduced order model for the finite element approximation of eigenvalue problems (Q2678472) (← links)
- Physics-data combined machine learning for parametric reduced-order modelling of nonlinear dynamical systems in small-data regimes (Q2678495) (← links)
- Stabilization of generalized empirical interpolation method (GEIM) in presence of noise: a novel approach based on Tikhonov regularization (Q2678500) (← links)
- A one-shot overlapping Schwarz method for component-based model reduction: application to nonlinear elasticity (Q2678518) (← links)
- Kolmogorov n-width and Lagrangian physics-informed neural networks: a causality-conforming manifold for convection-dominated PDEs (Q2678525) (← links)
- Exponential convergence of \textit{hp} FEM for spectral fractional diffusion in polygons (Q2678962) (← links)
- Learning high-dimensional parametric maps via reduced basis adaptive residual networks (Q2679335) (← links)
- Model reduction using sparse polynomial interpolation for the incompressible Navier-Stokes equations (Q2679765) (← links)
- Pressure data-driven variational multiscale reduced order models (Q2681113) (← links)
- Parametric dynamic mode decomposition for reduced order modeling (Q2683069) (← links)
- DeepBND: a machine learning approach to enhance multiscale solid mechanics (Q2687559) (← links)
- Bounded nonlinear forecasts of partially observed geophysical systems with physics-constrained deep learning (Q2688065) (← links)
- A POD/Galerkin model from eigenfunctions of non-converged Newton iterations in a convection problem (Q2688076) (← links)
- A new approach to proper orthogonal decomposition with difference quotients (Q2692798) (← links)
- A fully non-invasive hybrid IGA/FEM scheme for the analysis of localized non-linear phenomena (Q2692882) (← links)
- An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic differential operator (Q2693426) (← links)
- Certified reduced order method for the parametrized Allen-Cahn equation (Q2697785) (← links)
- Hybrid data-driven closure strategies for reduced order modeling (Q2698238) (← links)
- A discontinuous Galerkin reduced basis element method for elliptic problems (Q2806036) (← links)
