In this lecture we will show examples coming from Biology, Finance,
Physics, for which relevant stochastic models present singularities. We
will explain why these singularities generate
numerical difficulties when one desires to simulate the models, and
original mathematical difficulties when one desires to get error
estimates for appropriate simulation methods. We will discuss a few
recent results and present a selection of nice
open problems.
