University of Birmingham > Talks@bham > Applied Mathematics Seminar Series > A posteriori error estimation for stochastic Galerkin approximations

## A posteriori error estimation for stochastic Galerkin approximationsAdd to your list(s) Download to your calendar using vCal - Alex Bespalov (Birmingham)
- Monday 10 March 2014, 14:00-15:00
- Watson LRA.
If you have a question about this talk, please contact Alexandra Tzella. Stochastic Galerkin finite element method is an increasingly popular approach for the solution of elliptic PDE problems with correlated random data. It combines conventional ( In this talk, we outline the issues involved in a posteriori error analysis of computed solutions and present a practical a posteriori estimator for the approximation error. We also discuss different strategies for enriching the discrete space and derive computable estimates of the error reduction for the corresponding enhanced approximations. We show numerically that these estimates can be used to choose the enrichment strategy that reduces the error most efficiently, and thus they can guide an adaptive refinement algorithm. This talk is part of the Applied Mathematics Seminar Series series. ## This talk is included in these lists:Note that ex-directory lists are not shown. |
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