High-Order Collocation Methods for Diffe
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Xiu, Dongbin; Hesthaven, Jan S.
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Article
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2005
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Society for Industrial and Applied Mathematics
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English
β 431 KB
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