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A multigrid solver for two-dimensional stochastic diffusion equations

机译:二维随机扩散方程的多重网格求解器

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摘要

Steady and unsteady diffusion equations, with stochastic diffusivity coefficient and forcing term, are modeled in two dimensions by means of stochastic spectral representations. Problem data and solution variables are expanded using the Polynomial Chaos system. The approach leads to a set of coupled problems for the stochastic modes. Spatial finite-difference discretization of these coupled problems results in a large system of equations, whose dimension necessitates the use of iterative approaches in order to obtain the solution within a reasonable computational time. To accelerate the convergence of the iterative technique, a multigrid method, based on spatial coarsening, is implemented. Numerical experiments show good scaling properties of the method, both with respect to the number of spatial grid points and the stochastic resolution level.
机译:具有随机扩散系数和强迫项的稳态和非稳态扩散方程是通过随机频谱表示法在二维中建模的。问题数据和解决方案变量使用多项式混沌系统扩展。该方法导致随机模式的一系列耦合问题。这些耦合问题的空间有限差分离散化导致了一个大型方程组,其维数必须使用迭代方法才能在合理的计算时间内获得解。为了加速迭代技术的收敛,实现了一种基于空间粗化的多网格方法。数值实验表明,该方法在空间网格点数和随机分辨率水平方面都具有良好的缩放特性。

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