CBS constants \& their role in error estimation for stochastic Galerkin finite element methods
DOI10.1007/s10915-018-0736-4zbMath1404.65257OpenAlexW2615439739MaRDI QIDQ1632210
Adam J. Crowder, Catherine E. Powell
Publication date: 13 December 2018
Published in: Journal of Scientific Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10915-018-0736-4
stochastic Galerkin methodstochastic finite element methodstrengthened Cauchy-Schwarz inequalityCBS constantserror estimation for stochastic PDE problems
Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs (65N30) Iterative numerical methods for linear systems (65F10) PDEs with randomness, stochastic partial differential equations (35R60) Computational methods for stochastic equations (aspects of stochastic analysis) (60H35)
Related Items
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Adaptive stochastic Galerkin FEM
- Adaptive algorithm for stochastic Galerkin method.
- Solving elliptic boundary value problems with uncertain coefficients by the finite element method: the stochastic formulation
- The strengthened CBS inequality constant for second order elliptic partial differential operator and for hierarchical bilinear finite element functions.
- Sparse high order FEM for elliptic sPDEs
- Hierarchical preconditioning for the stochastic Galerkin method: upper bounds to the strengthened CBS constants
- Energy Norm A Posteriori Error Estimation for Parametric Operator Equations
- An Introduction to Computational Stochastic PDEs
- Preconditioning anda posteriorierror estimates usingh- andp-hierarchical finite elements with rectangular supports
- Stochastic Galerkin Matrices
- Sparse Tensor Discretization of Elliptic sPDEs
- Preconditioning Stochastic Galerkin Saddle Point Systems
- A Kronecker Product Preconditioner for Stochastic Galerkin Finite Element Discretizations
- Sparse tensor discretizations of high-dimensional parametric and stochastic PDEs
- Local Equilibration Error Estimators for Guaranteed Error Control in Adaptive Stochastic Higher-Order Galerkin Finite Element Methods
- Algebraic Multilevel Preconditioning Methods, II
- A convergent adaptive stochastic Galerkin finite element method with quasi-optimal spatial meshes
- Efficient Solvers for a Linear Stochastic Galerkin Mixed Formulation of Diffusion Problems with Random Data
- Block-diagonal preconditioning for spectral stochastic finite-element systems
- Some A Posteriori Error Estimators for Elliptic Partial Differential Equations
- The Role of the Strengthened Cauchy–Buniakowskii–Schwarz Inequality in Multilevel Methods
- Efficient Adaptive Algorithms for Elliptic PDEs with Random Data
- Galerkin Finite Element Approximations of Stochastic Elliptic Partial Differential Equations
- Computational Methods for Inverse Problems
- A Convergent Adaptive Algorithm for Poisson’s Equation
- Preconditioning of iterative methods ‐ theory and applications
- Efficient Adaptive Stochastic Galerkin Methods for Parametric Operator Equations
- An Optimal Solver for Linear Systems Arising from Stochastic FEM Approximation of Diffusion Equations with Random Coefficients
- Solution of stochastic partial differential equations using Galerkin finite element techniques