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Minisymposium: Stochastic PDEs and Uncertainty Quantification with Applications in Engineering

  • Clemens Heitzinger
  • Hermann Matthies
Conference paper
Part of the Mathematics in Industry book series (MATHINDUSTRY, volume 26)

Abstract

Stochastic partial differential equations are becoming more and more important to model uncertainties, noise, fluctuations, process variations, material properties etc. in various applications.

Copyright information

© Springer International Publishing AG, part of Springer Nature 2017

Authors and Affiliations

  1. 1.Institute for Analysis and Scientific ComputingVienna University of TechnologyViennaAustria
  2. 2.Institut für Wissenschaftliches RechnenTechnische Universität BraunschweigBraunschweigGermany

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