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A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data

✍ Scribed by Babuška, Ivo; Nobile, Fabio; Tempone, Raúl


Book ID
115503104
Publisher
Society for Industrial and Applied Mathematics
Year
2007
Tongue
English
Weight
721 KB
Volume
45
Category
Article
ISSN
0036-1429

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Recently there has been a growing interest in designing efficient methods for the solution of ordinary/partial differential equations with random inputs. To this end, stochastic Galerkin methods appear to be superior to other nonsampling methods and, in many cases, to several sampling methods. Howev