Pages that link to "Item:Q604684"

The following pages link to Convergence rates of best \(N\)-term Galerkin approximations for a class of elliptic SPDEs (Q604684):

Displaying 50 items.

• A multilevel sparse kernel-based stochastic collocation finite element method for elliptic problems with random coefficients (Q2202975) (← links)
• Regularity and convergence analysis in Sobolev and Hölder spaces for generalized Whittle-Matérn fields (Q2217871) (← links)
• Data assimilation for models with parametric uncertainty (Q2222452) (← links)
• Stochastic preconditioning of domain decomposition methods for elliptic equations with random coefficients (Q2236998) (← links)
• Deep ReLU network expression rates for option prices in high-dimensional, exponential Lévy models (Q2238770) (← links)
• Proper orthogonal decomposition method for multiscale elliptic PDEs with random coefficients (Q2297081) (← links)
• A local sensitivity and regularity analysis for the Vlasov-Poisson-Fokker-Planck system with multi-dimensional uncertainty and the spectral convergence of the stochastic Galerkin method (Q2303650) (← links)
• Multilevel methods for uncertainty quantification of elliptic PDEs with random anisotropic diffusion (Q2303981) (← links)
• Variational Monte Carlo -- bridging concepts of machine learning and high-dimensional partial differential equations (Q2305540) (← links)
• Adjusted sparse tensor product spectral Galerkin method for solving pseudodifferential equations on the sphere with random input data (Q2307479) (← links)
• Hessian-based adaptive sparse quadrature for infinite-dimensional Bayesian inverse problems (Q2310097) (← links)
• Approximation of generalized ridge functions in high dimensions (Q2315030) (← links)
• An improved discrete least-squares/reduced-basis method for parameterized elliptic PDEs (Q2333686) (← links)
• Multi-level quasi-Monte Carlo finite element methods for a class of elliptic PDEs with random coefficients (Q2351805) (← links)
• Infinite-dimensional \(\ell ^1\) minimization and function approximation from pointwise data (Q2359680) (← links)
• Adaptive stochastic Galerkin FEM with hierarchical tensor representations (Q2364893) (← links)
• Analysis of quasi-optimal polynomial approximations for parameterized PDEs with deterministic and stochastic coefficients (Q2408938) (← links)
• Correcting for unknown errors in sparse high-dimensional function approximation (Q2424851) (← links)
• Capturing ridge functions in high dimensions from point queries (Q2428577) (← links)
• Non-intrusive low-rank separated approximation of high-dimensional stochastic models (Q2449955) (← links)
• Adaptive wavelet methods for elliptic partial differential equations with random operators (Q2454032) (← links)
• Sparse-grid, reduced-basis Bayesian inversion (Q2631530) (← links)
• Sparse approximation of triangular transports. II: The infinite-dimensional case (Q2672290) (← links)
• Stochastic collocation method for computing eigenspaces of parameter-dependent operators (Q2678965) (← links)
• Sparse polynomial approximations for affine parametric saddle point problems (Q2679763) (← links)
• A metalearning approach for physics-informed neural networks (PINNs): application to parameterized PDEs (Q2681136) (← links)
• Numerical solution of the Poisson equation on domains with a thin layer of random thickness (Q2798204) (← links)
• How To Best Sample a Solution Manifold? (Q2799929) (← links)
• On the Stability of Polynomial Interpolation Using Hierarchical Sampling (Q2799930) (← links)
• Multilevel higher order QMC Petrov-Galerkin discretization for affine parametric operator equations (Q2817781) (← links)
• Higher Order Quasi Monte-Carlo Integration in Uncertainty Quantification (Q2831233) (← links)
• An adaptive stochastic Galerkin method for random elliptic operators (Q2840619) (← links)
• Analytic regularity and nonlinear approximation of a class of parametric semilinear elliptic PDEs (Q2841688) (← links)
• Numerical homogenization of a nonlinearly coupled elliptic-parabolic system, reduced basis method, and application to nuclear waste storage (Q2857743) (← links)
• A literature survey of low-rank tensor approximation techniques (Q2864808) (← links)
• Regularity and generalized polynomial chaos approximation of parametric and random second-order hyperbolic partial differential equations (Q2909065) (← links)
• QMC Galerkin Discretization of Parametric Operator Equations (Q2926242) (← links)
• Dimension-Independent MCMC Sampling for Inverse Problems with Non-Gaussian Priors (Q2945165) (← links)
• Compressive sensing Petrov-Galerkin approximation of high-dimensional parametric operator equations (Q2953202) (← links)
• Kolmogorov widths and low-rank approximations of parametric elliptic PDEs (Q2953203) (← links)
• <i>A Priori</i> Error Estimate of Stochastic Galerkin Method for Optimal Control Problem Governed by Random Parabolic PDE with Constrained Control (Q2972154) (← links)
• ANALYTIC REGULARITY AND POLYNOMIAL APPROXIMATION OF PARAMETRIC AND STOCHASTIC ELLIPTIC PDE'S (Q3074789) (← links)
• Sparse tensor discretizations of high-dimensional parametric and stochastic PDEs (Q3100349) (← links)
• ON THE OPTIMAL POLYNOMIAL APPROXIMATION OF STOCHASTIC PDES BY GALERKIN AND COLLOCATION METHODS (Q3166761) (← links)
• Numerical Integration in Multiple Dimensions with Designed Quadrature (Q3174765) (← links)
• Parallel Domain Decomposition Strategies for Stochastic Elliptic Equations Part B: Accelerated Monte Carlo Sampling with Local PC Expansions (Q3174781) (← links)
• Higher-Order Quasi-Monte Carlo for Bayesian Shape Inversion (Q3176242) (← links)
• Sparse Adaptive Tensor Galerkin Approximations of Stochastic PDE-Constrained Control Problems (Q3179318) (← links)
• Local Equilibration Error Estimators for Guaranteed Error Control in Adaptive Stochastic Higher-Order Galerkin Finite Element Methods (Q3179334) (← links)
• Convergence rates for sparse chaos approximations of elliptic problems with stochastic coefficients (Q3437232) (← links)