Pages that link to "Item:Q2944934"

The following pages link to Certified Reduced Basis Methods for Parametrized Partial Differential Equations (Q2944934):

Displaying 50 items.

• Model order reduction for compressible flows solved using the discontinuous Galerkin methods (Q2168284) (← links)
• Model order reduction accelerated Monte Carlo stochastic isogeometric method for the analysis of structures with high-dimensional and independent material uncertainties (Q2174139) (← links)
• Error estimation in reduced basis method for systems with time-varying and nonlinear boundary conditions (Q2175252) (← links)
• Bayesian identification of a projection-based reduced order model for computational fluid dynamics (Q2176873) (← links)
• A deep learning-based hybrid approach for the solution of multiphysics problems in electrosurgery (Q2179220) (← links)
• A non-intrusive multifidelity method for the reduced order modeling of nonlinear problems (Q2180467) (← links)
• The adjoint Petrov-Galerkin method for non-linear model reduction (Q2184304) (← links)
• Rare event simulation for large-scale structures with local nonlinearities (Q2184453) (← links)
• Certified reduced basis method in geosciences. Addressing the challenge of high-dimensional problems (Q2187912) (← links)
• Two-grid based adaptive proper orthogonal decomposition method for time dependent partial differential equations (Q2199697) (← links)
• Multi space reduced basis preconditioners for parametrized Stokes equations (Q2203868) (← links)
• A robust error estimator and a residual-free error indicator for reduced basis methods (Q2203902) (← links)
• POD-(H)DG method for incompressible flow simulations (Q2210653) (← links)
• Non-intrusive reduced order modeling of unsteady flows using artificial neural networks with application to a combustion problem (Q2214654) (← links)
• Proper orthogonal decomposition with SUPG-stabilized isogeometric analysis for reduced order modelling of unsteady convection-dominated convection-diffusion-reaction problems (Q2220570) (← links)
• High-dimensional and higher-order multifidelity Monte Carlo estimators (Q2220612) (← links)
• Multifidelity probability estimation via fusion of estimators (Q2221438) (← links)
• A physics-aware, probabilistic machine learning framework for coarse-graining high-dimensional systems in the small data regime (Q2222510) (← links)
• Machine learning for fast and reliable solution of time-dependent differential equations (Q2222523) (← links)
• Adaptive non-intrusive reduced order modeling for compressible flows (Q2222527) (← links)
• An efficient algorithm for a class of stochastic forward and inverse Maxwell models in \(\mathbb{R}^3\) (Q2222567) (← links)
• A reduced basis method for a PDE-constrained optimization formulation in discrete fracture network flow simulations (Q2234880) (← links)
• Model order reduction of flow based on a modular geometrical approximation of blood vessels (Q2236915) (← links)
• Learning constitutive models from microstructural simulations via a non-intrusive reduced basis method (Q2237428) (← links)
• A discretize-then-map approach for the treatment of parameterized geometries in model order reduction (Q2237453) (← links)
• A weighted POD-reduction approach for parametrized PDE-constrained optimal control problems with random inputs and applications to environmental sciences (Q2239119) (← links)
• Greedy algorithm for parameter dependent operator Lyapunov equations (Q2242906) (← links)
• Reduced order modelling for a rotor-stator cavity using proper orthogonal decomposition (Q2245198) (← links)
• On the comparison of LES data-driven reduced order approaches for hydroacoustic analysis (Q2245201) (← links)
• Windowed space-time least-squares Petrov-Galerkin model order reduction for nonlinear dynamical systems (Q2246254) (← links)
• Data-driven model order reduction for problems with parameter-dependent jump-discontinuities (Q2246398) (← links)
• Decay of the Kolmogorov \(N\)-width for wave problems (Q2274844) (← links)
• A reduced-order discontinuous Galerkin method based on a Krylov subspace technique in nanophotonics (Q2279351) (← links)
• A reduced order model for investigating the dynamics of the Gen-IV LFR coolant pool (Q2281883) (← links)
• Certified offline-free reduced basis (COFRB) methods for stochastic differential equations driven by arbitrary types of noise (Q2291860) (← links)
• A hierarchical a posteriori error estimator for the reduced basis method (Q2305526) (← links)
• Mass conservative reduced order modeling of a free boundary osmotic cell swelling problem (Q2305527) (← links)
• Kolmogorov \(n\)-widths for linear dynamical systems (Q2305530) (← links)
• Discontinuous Galerkin reduced basis empirical quadrature procedure for model reduction of parametrized nonlinear conservation laws (Q2305531) (← links)
• A reduced order variational multiscale approach for turbulent flows (Q2305534) (← links)
• An offline/online procedure for dual norm calculations of parameterized functionals: empirical quadrature and empirical test spaces (Q2305537) (← links)
• POD-Galerkin method for finite volume approximation of Navier-Stokes and RANS equations (Q2308660) (← links)
• A matrix DEIM technique for model reduction of nonlinear parametrized problems in cardiac mechanics (Q2309983) (← links)
• Reduced collocation method for time-dependent parametrized partial differential equations (Q2330394) (← links)
• Structure-preserving model-reduction of dissipative Hamiltonian systems (Q2333680) (← links)
• An improved discrete least-squares/reduced-basis method for parameterized elliptic PDEs (Q2333686) (← links)
• Reduced basis approaches for parametrized bifurcation problems held by non-linear von Kármán equations (Q2333688) (← links)
• A weighted POD method for elliptic PDEs with random inputs (Q2333690) (← links)
• Certified PDE-constrained parameter optimization using reduced basis surrogate models for evolution problems (Q2352426) (← links)
• Reduced basis methods with adaptive snapshot computations (Q2400481) (← links)