Minisymposium: Stochastic PDEs and Uncertainty Quantification with Applications in Engineering
Part of the Mathematics in Industry book series (MATHINDUSTRY, volume 26)
Stochastic partial differential equations are becoming more and more important to model uncertainties, noise, fluctuations, process variations, material properties etc. in various applications.
© Springer International Publishing AG, part of Springer Nature 2017