Stochastic Partial Differential Equations: May 16 – 20, 2016
Organized by Martin Hairer Stochastic partial differential equations allow to describe phenomena that vary in both space and time and are subject to random influences. They arise naturally in a variety of contexts, including the description of the large-scale behaviour of random systems in statistical mechanics, the modelling of forward interest rates, the description of … Read more