A survey in mathematics for industry: Polynomial chaos for the approximation of uncertainties: Chances and limits

F. Augustin, A. Gilg, M. Paffrath, P. Rentrop, U. Wever

Research output: Contribution to journalReview articlepeer-review

68 Scopus citations

Abstract

In technical applications, uncertainties are a topic of increasing interest. During the last years the Polynomial Chaos of Wiener (Amer. J. Math. 60(4), 897936, 1938) was revealed to be a cheap alternative to Monte Carlo simulations. In this paper we apply Polynomial Chaos to stationary and transient problems, both from academics and from industry. For each of the applications, chances and limits of Polynomial Chaos are discussed. The presented problems show the need for new theoretical results.

Original languageEnglish
Pages (from-to)149-190
Number of pages42
JournalEuropean Journal of Applied Mathematics
Volume19
Issue number2
DOIs
StatePublished - Apr 2008

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