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Uncertainty Quantification

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Numerical Approximation of the Magnetoquasistatic Model with Uncertainties

Part of the book series: Springer Theses ((Springer Theses))

Abstract

This chapter is devoted to the modeling and propagation of uncertainties with emphasis on aleatory uncertainty. High-dimensional parametric models will be derived and techniques for their efficient approximation will be discussed and compared. To this end, the sensitivity analysis tools, derived in the previous chapter will be of central importance.

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Notes

  1. 1.

    The simulation is based on the original data kindly provided by Stéphane Clénet.

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Authors and Affiliations

  1. Institut für Theorie Elektromagnetischer Felder, Technische Universität Darmstadt, Darmstadt, Germany

    Ulrich Römer

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  1. Ulrich Römer
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Correspondence to Ulrich Römer .

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Römer, U. (2016). Uncertainty Quantification. In: Numerical Approximation of the Magnetoquasistatic Model with Uncertainties. Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-319-41294-8_5

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  • DOI: https://doi.org/10.1007/978-3-319-41294-8_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-41293-1

  • Online ISBN: 978-3-319-41294-8

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