2:00 PM-4:00 PM
Room: Sidney Smith 1084
Quantifying the uncertainties in mathematical models is essential for making reliable predictions of complex phenomena. Well-informed decisions based on simulations require that we can identify the significance of the inherent variability of the physical system, the impact of the approximations made in formulating the model problem, the consequences of simulation errors when solving the approximate model, the sensitivity of the prediction to our limited knowledge of the state of the system and the probabilistic implications of the inherent stochastic effects that exist in most physical systems. We will discuss the importance of quantifying these uncertainties and describe new approaches for estimating their impact and sensitivity on the model predictions.
The minisymposium will be useful for anyone interested in quantifying the uncertainty in mathematical models predicting complex physical phenomena.Organizer: James M. Hyman