Pages that link to "Item:Q817341"

The following pages link to Galerkin methods for linear and nonlinear elliptic stochastic partial differential equations (Q817341):

Displaying 50 items.

• Second Moment Analysis for Robin Boundary Value Problems on Random Domains (Q2950237) (← links)
• On the quasi-Monte Carlo method with Halton points for elliptic PDEs with log-normal diffusion (Q2953207) (← links)
• Computable Error Estimates for Finite Element Approximations of Elliptic Partial Differential Equations with Rough Stochastic Data (Q2953223) (← links)
• An Efficient Reduced Basis Solver for Stochastic Galerkin Matrix Equations (Q2954486) (← links)
• Statistical reconstruction and Karhunen-Loève expansion for multiphase random media (Q2968724) (← links)
• A stochastic modeling methodology based on weighted Wiener chaos and Malliavin calculus (Q3069226) (← links)
• The Global Random Attractor for a Class of Stochastic Porous Media Equations (Q3086353) (← 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)
• Existence, Uniqueness, and a Comparison of Nonintrusive Methods for the Stochastic Nonlinear Poisson--Boltzmann Equation (Q3176259) (← links)
• A Sparse Stochastic Collocation Technique for High-Frequency Wave Propagation with Uncertainty (Q3179321) (← links)
• An Adaptive Multilevel Monte Carlo Method with Stochastic Bounds for Quantities of Interest with Uncertain Data (Q3179327) (← links)
• Local Equilibration Error Estimators for Guaranteed Error Control in Adaptive Stochastic Higher-Order Galerkin Finite Element Methods (Q3179334) (← links)
• (Q3387010) (← links)
• Multilevel Estimation of Rare Events (Q3452529) (← links)
• Polynomial Chaos Expansion of Random Coefficients and the Solution of Stochastic Partial Differential Equations in the Tensor Train Format (Q3452537) (← links)
• Efficient approximation of random fields for numerical applications (Q3466257) (← links)
• A systematic study of efficient sampling methods to quantify uncertainty in crack propagation and the Burgers equation (Q3564645) (← links)
• Galerkin methods in dynamic stochastic programming (Q3577835) (← links)
• On probabilistic yielding of materials (Q3617468) (← links)
• Uncertainty quantification in chemical systems (Q3649910) (← links)
• Analysis and implementation issues for the numerical approximation of parabolic equations with random coefficients (Q3649918) (← links)
• On output functionals of boundary value problems on stochastic domains (Q3655858) (← links)
• A Novel Variable-Separation Method Based on Sparse and Low Rank Representation for Stochastic Partial Differential Equations (Q4597616) (← links)
• Robust Information Divergences for Model-Form Uncertainty Arising from Sparse Data in Random PDE (Q4611520) (← links)
• Inexact Methods for Symmetric Stochastic Eigenvalue Problems (Q4611535) (← links)
• A multiscale method for semi-linear elliptic equations with localized uncertainties and non-linearities (Q4631391) (← links)
• Stochastic Least-Squares Petrov--Galerkin Method for Parameterized Linear Systems (Q4636377) (← links)
• Stochastic finite element methods for partial differential equations with random input data (Q4683917) (← links)
• A stabilized finite element method for stochastic incompressible Navier–Stokes equations (Q4902866) (← links)
• Random field representations for stochastic elliptic boundary value problems and statistical inverse problems (Q4981608) (← links)
• Hierarchical Schur complement preconditioner for the stochastic Galerkin finite element methods (Q4982961) (← links)
• Lattice Boltzmann Method for Stochastic Convection-Diffusion Equations (Q4995115) (← links)
• Solving parametric PDE problems with artificial neural networks (Q5014839) (← links)
• Stochastic Galerkin Methods for Linear Stability Analysis of Systems with Parametric Uncertainty (Q5052897) (← links)
• Chance constrained optimization of elliptic PDE systems with a smoothing convex approximation (Q5126413) (← links)
• Analysis of Probabilistic and Parametric Reduced Order Models (Q5141290) (← links)
• A Data-Driven Approach for Multiscale Elliptic PDEs with Random Coefficients Based on Intrinsic Dimension Reduction (Q5150066) (← links)
• A Model Reduction Method for Multiscale Elliptic Pdes with Random Coefficients Using an Optimization Approach (Q5197631) (← links)
• Multilevel Quadrature for Elliptic Parametric Partial Differential Equations in Case of Polygonal Approximations of Curved Domains (Q5217601) (← links)
• A Variable-Separation Method for Nonlinear Partial Differential Equations With Random Inputs (Q5221029) (← links)
• Uncertainty Propagation Analysis of T/R Modules (Q5225918) (← links)
• A Hybrid Alternating Least Squares--TT-Cross Algorithm for Parametric PDEs (Q5228358) (← links)
• A Hybrid HDMR for Mixed Multiscale Finite Element Methods with Application to Flows in Random Porous Media (Q5250325) (← links)
• To Be or Not to be Intrusive? The Solution of Parametric and Stochastic Equations---Proper Generalized Decomposition (Q5251935) (← links)
• An Adaptive Wavelet Stochastic Collocation Method for Irregular Solutions of Partial Differential Equations with Random Input Data (Q5254894) (← links)
• Iterative Polynomial Approximation Adapting to Arbitrary Probability Distribution (Q5261599) (← links)
• The stochastic Galerkin scaled boundary finite element method on random domain (Q5273352) (← links)
• SDE Based Regression for Linear Random PDEs (Q5275045) (← links)
• $\mathcal{H}$-Matrix Based Second Moment Analysis for Rough Random Fields and Finite Element Discretizations (Q5275048) (← links)