@Article{CiCP-5-2-4,
author = {},
title = {Error Control in Multi-Element Generalized Polynomial Chaos Method for Elliptic Problems with Random Coefficients},
journal = {Communications in Computational Physics},
year = {2009},
volume = {5},
number = {2-4},
pages = {793--820},
abstract = {<p style="text-align: justify;">We develop the theory for a robust and efficient adaptive multi-element
generalized polynomial chaos (ME-gPC) method for elliptic equations with random
coefficients for a moderate number (<em>O</em>(10)) of random dimensions. We employ low-order (<em>p</em> ≤ 3) polynomial chaos and refine the solution using adaptivity in the parametric space. We first study the approximation error of ME-gPC and prove its <em>hp</em>-convergence. We subsequently generate local and global a posteriori error estimators.
In order to resolve the error equations efficiently, we construct a reduced space using
much smaller number of terms in the enhanced polynomial chaos space to capture the
errors of ME-gPC approximation. Based on the a posteriori estimators, we propose and
implement an adaptive ME-gPC algorithm for elliptic problems with random coefficients. Numerical results for convergence and efficiency are also presented.</p>},
issn = {1991-7120},
doi = {https://doi.org/2009-CiCP-7764},
url = {https://global-sci.com/article/81116/error-control-in-multi-element-generalized-polynomial-chaos-method-for-elliptic-problems-with-random-coefficients}
}