This paper presents an overview and comparison of iterative solvers for linear stochastic partial differential equations (PDEs). A stochastic Galerkin ...
Oct 22, 2024 · This paper presents an overview and comparison of iterative solvers for linear stochastic partial differential equations (PDEs).
This paper discusses one-level iterative methods, based on matrix splitting techniques; multigrid methods, which apply a coarsening in the spatial dimension ...
In this study, we describe the algebraic computations required to implement the stochastic finite element method for solving problems in which uncertainty ...
This paper discusses one-level iterative methods, based on matrix splitting techniques; multigrid methods, which apply a coarsening in the spatial dimension; ...
In this study, we describe the algebraic computations required to implement the stochastic finite element method for solving problems in which uncertainty ...
In this study, we describe the algebraic computations required to implement the stochastic finite element method for solving problems in which uncertainty ...
In this talk, we focus on solving high dimensional algebraic systems that result after discretizing steady-state linear stochastic PDEs. We shall present a ...
This article aims at providing a state-of-the-art review of past and recent developments in the SFEM area and indicating future directions.
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The so-called Stochastic Finite Element Method provides a framework for incorporating statistical in- formation about spatial variability in material ...