Pages that link to "Item:Q3074789"
From MaRDI portal
The following pages link to ANALYTIC REGULARITY AND POLYNOMIAL APPROXIMATION OF PARAMETRIC AND STOCHASTIC ELLIPTIC PDE'S (Q3074789):
Displaying 50 items.
- A Multilevel Stochastic Collocation Method for Partial Differential Equations with Random Input Data (Q3452535) (← links)
- Posterior consistency for Gaussian process approximations of Bayesian posterior distributions (Q4600705) (← links)
- Quasi--Monte Carlo Integration for Affine-Parametric, Elliptic PDEs: Local Supports and Product Weights (Q4600832) (← links)
- Polynomial approximation via compressed sensing of high-dimensional functions on lower sets (Q4605704) (← links)
- Hypocoercivity and Uniform Regularity for the Vlasov--Poisson--Fokker--Planck System with Uncertainty and Multiple Scales (Q4609595) (← links)
- Uncertainty Quantification for Low-Frequency, Time-Harmonic Maxwell Equations with Stochastic Conductivity Models (Q4611518) (← links)
- A Study of Elliptic Partial Differential Equations with Jump Diffusion Coefficients (Q4611534) (← links)
- Multivariate Approximation in Downward Closed Polynomial Spaces (Q4611802) (← links)
- On the Complexity of Parametric ODEs and Related Problems (Q4611817) (← links)
- Convergence analysis of Padé approximations for Helmholtz frequency response problems (Q4613909) (← links)
- Deep learning in high dimension: Neural network expression rates for generalized polynomial chaos expansions in UQ (Q4615657) (← links)
- Sampling-free Bayesian inversion with adaptive hierarchical tensor representations (Q4634763) (← links)
- Uniform Regularity for Linear Kinetic Equations with Random Input Based on Hypocoercivity (Q4636357) (← links)
- Ensemble Grouping Strategies for Embedded Stochastic Collocation Methods Applied to Anisotropic Diffusion Problems (Q4636367) (← links)
- Reduced Basis Methods for Uncertainty Quantification (Q4636408) (← links)
- Convergence of Sparse Collocation for Functions of Countably Many Gaussian Random Variables (with Application to Elliptic PDEs) (Q4637512) (← links)
- Stochastic finite element methods for partial differential equations with random input data (Q4683917) (← links)
- Greedy Algorithms for Optimal Measurements Selection in State Estimation Using Reduced Models (Q4689167) (← links)
- ANALYTIC REGULARITY AND POLYNOMIAL APPROXIMATION OF STOCHASTIC, PARAMETRIC ELLIPTIC MULTISCALE PDEs (Q4908589) (← 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)
- Multilevel Designed Quadrature for Partial Differential Equations with Random Inputs (Q4986844) (← links)
- Nonlinear model reduction on metric spaces. Application to one-dimensional conservative PDEs in Wasserstein spaces (Q4994014) (← links)
- Adaptive low-rank approximations for operator equations: Accuracy control and computational complexity (Q4998630) (← links)
- (Q4998939) (← links)
- The Gap between Theory and Practice in Function Approximation with Deep Neural Networks (Q4999396) (← links)
- Parameter-Robust Stochastic Galerkin Mixed Approximation for Linear Poroelasticity with Uncertain Inputs (Q5005003) (← links)
- Sequential Sampling for Optimal Weighted Least Squares Approximations in Hierarchical Spaces (Q5025780) (← links)
- Numerical analysis for time-dependent advection-diffusion problems with random discontinuous coefficients (Q5038943) (← links)
- An adaptive stochastic Galerkin method based on multilevel expansions of random fields: Convergence and optimality (Q5044411) (← links)
- On the Convergence of Adaptive Stochastic Collocation for Elliptic Partial Differential Equations with Affine Diffusion (Q5070555) (← links)
- State Estimation with Model Reduction and Shape Variability. Application to biomedical problems (Q5088772) (← links)
- Multilevel weighted least squares polynomial approximation (Q5110276) (← links)
- Multilevel Quasi-Monte Carlo Uncertainty Quantification for Advection-Diffusion-Reaction (Q5117920) (← links)
- Convergence rates of high dimensional Smolyak quadrature (Q5118611) (← links)
- Kernel Methods for Bayesian Elliptic Inverse Problems on Manifolds (Q5139358) (← links)
- Surrogate-Based Ensemble Grouping Strategies for Embedded Sampling-Based Uncertainty Quantification (Q5141287) (← links)
- Sparse-grid polynomial interpolation approximation and integration for parametric and stochastic elliptic PDEs with lognormal inputs (Q5154014) (← links)
- Two-Level a Posteriori Error Estimation for Adaptive Multilevel Stochastic Galerkin Finite Element Method (Q5158920) (← links)
- Recursive POD Expansion for the Advection-Diffusion-Reaction Equation (Q5160526) (← links)
- On the stability and accuracy of the empirical interpolation method and gravitational wave surrogates (Q5163390) (← links)
- A mixed <i>ℓ</i><sub>1</sub> regularization approach for sparse simultaneous approximation of parameterized PDEs (Q5216108) (← links)
- Multilevel Quadrature for Elliptic Parametric Partial Differential Equations in Case of Polygonal Approximations of Curved Domains (Q5217601) (← links)
- Efficient Adaptive Multilevel Stochastic Galerkin Approximation Using Implicit A Posteriori Error Estimation (Q5230614) (← links)
- A Domain Decomposition Model Reduction Method for Linear Convection-Diffusion Equations with Random Coefficients (Q5230626) (← links)
- Improved Efficiency of a Multi-Index FEM for Computational Uncertainty Quantification (Q5232305) (← links)
- Uncertainty Quantification for Spectral Fractional Diffusion: Sparsity Analysis of Parametric Solutions (Q5237180) (← links)
- Discrete least squares polynomial approximation with random evaluations − application to parametric and stochastic elliptic PDEs (Q5254431) (← links)
- Error Analysis of the Dynamically Orthogonal Approximation of Time Dependent Random PDEs (Q5254441) (← links)
