Pages that link to "Item:Q404259"

The following pages link to High-dimensional adaptive sparse polynomial interpolation and applications to parametric PDEs (Q404259):

Displaying 49 items.

• Sparse Adaptive Tensor Galerkin Approximations of Stochastic PDE-Constrained Control Problems (Q3179318) (← links)
• A convergent adaptive stochastic Galerkin finite element method with quasi-optimal spatial meshes (Q3449161) (← links)
• Hierarchical Tensor Approximation of Output Quantities of Parameter-Dependent PDEs (Q3452525) (← links)
• A Multilevel Stochastic Collocation Method for Partial Differential Equations with Random Input Data (Q3452535) (← links)
• A Posteriori Error Estimation for the Stochastic Collocation Finite Element Method (Q4554049) (← links)
• Electromagnetic wave scattering by random surfaces: Shape holomorphy (Q4588314) (← links)
• Weighted Approximate Fekete Points: Sampling for Least-Squares Polynomial Approximation (Q4603503) (← links)
• Polynomial approximation via compressed sensing of high-dimensional functions on lower sets (Q4605704) (← links)
• Polynomial Approximation of High-Dimensional Hamilton--Jacobi--Bellman Equations and Applications to Feedback Control of Semilinear Parabolic PDEs (Q4607635) (← links)
• Shape Holomorphy of the Stationary Navier--Stokes Equations (Q4609591) (← links)
• Uncertainty Quantification for Low-Frequency, Time-Harmonic Maxwell Equations with Stochastic Conductivity Models (Q4611518) (← links)
• Multivariate Approximation in Downward Closed Polynomial Spaces (Q4611802) (← links)
• Deep learning in high dimension: Neural network expression rates for generalized polynomial chaos expansions in UQ (Q4615657) (← links)
• Convergence of Sparse Collocation for Functions of Countably Many Gaussian Random Variables (with Application to Elliptic PDEs) (Q4637512) (← links)
• Domain Uncertainty Quantification in Computational Electromagnetics (Q4960993) (← links)
• Sparse quadrature for high-dimensional integration with Gaussian measure (Q4961188) (← links)
• Linear collective collocation approximation for parametric and stochastic elliptic PDEs (Q4966691) (← links)
• Multilevel approximation of parametric and stochastic PDES (Q4973298) (← links)
• Error Estimation and Adaptivity for Stochastic Collocation Finite Elements Part I: Single-Level Approximation (Q5048568) (← links)
• High-Order Polynomial Recovery in Finite Element Advection Schemes (Q5049356) (← links)
• On the Convergence of Adaptive Stochastic Collocation for Elliptic Partial Differential Equations with Affine Diffusion (Q5070555) (← links)
• Constructing Least-Squares Polynomial Approximations (Q5113170) (← links)
• Stochastic Methods for Solving High-Dimensional Partial Differential Equations (Q5117925) (← links)
• A Method for Dimensionally Adaptive Sparse Trigonometric Interpolation of Periodic Functions (Q5132042) (← links)
• Sparse-grid polynomial interpolation approximation and integration for parametric and stochastic elliptic PDEs with lognormal inputs (Q5154014) (← links)
• Non-intrusive double-greedy parametric model reduction by interpolation of frequency-domain rational surrogates (Q5163499) (← links)
• A scalable estimator of sets of integral operators (Q5236688) (← links)
• Discrete least squares polynomial approximation with random evaluations − application to parametric and stochastic elliptic PDEs (Q5254431) (← links)
• A Multi-Index Quasi--Monte Carlo Algorithm for Lognormal Diffusion Problems (Q5372657) (← links)
• Adaptive Polynomial Interpolation on Evenly Spaced Meshes (Q5432388) (← links)
• A comparative study between kriging and adaptive sparse tensor-product methods for multi-dimensional approximation problems in aerodynamics design (Q5744925) (← links)
• Hyperbolic cross approximation in infinite dimensions (Q5963452) (← links)
• Adaptive experimental design for multi‐fidelity surrogate modeling of multi‐disciplinary systems (Q6069984) (← links)
• An <i>hp</i>‐adaptive multi‐element stochastic collocation method for surrogate modeling with information re‐use (Q6082501) (← links)
• Collocation approximation by deep neural ReLU networks for parametric and stochastic PDEs with lognormal inputs (Q6148127) (← links)
• Global Polynomial Level Sets for Numerical Differential Geometry of Smooth Closed Surfaces (Q6175128) (← links)
• Multilevel domain uncertainty quantification in computational electromagnetics (Q6175722) (← links)
• Kernel methods are competitive for operator learning (Q6202132) (← links)
• A kernel framework for learning differential equations and their solution operators (Q6496499) (← links)
• An adaptive sparse grid rational Arnoldi method for uncertainty quantification of dynamical systems in the frequency domain (Q6554128) (← links)
• Randomized least-squares with minimal oversampling and interpolation in general spaces (Q6573780) (← links)
• Error estimates of a bi-fidelity method for a multi-phase Navier-Stokes-Vlasov-Fokker-Planck system with random inputs (Q6586968) (← links)
• A combination technique for optimal control problems constrained by random PDEs (Q6587622) (← links)
• Neural and spectral operator surrogates: unified construction and expression rate bounds (Q6601288) (← links)
• Algorithm 1040: the Sparse Grids Matlab Kit -- a Matlab implementation of sparse grids for high-dimensional function approximation and uncertainty quantification (Q6604158) (← links)
• Approximating the stationary Bellman equation by hierarchical tensor products (Q6616995) (← links)
• Error analysis of kernel/GP methods for nonlinear and parametric PDEs (Q6648398) (← links)
• Uncertainty quantification analysis of bifurcations of the Allen-Cahn equation with random coefficients (Q6650099) (← links)
• Exploiting locality in sparse polynomial approximation of parametric elliptic PDEs and application to parameterized domains (Q6652068) (← links)