Title: Differential algebra and polynomial systems in parameter estimation of ODE models
Abstract: ODE models in practice typically involve unknown parameters that need to be estimated. There are different approaches to parameter estimation. The most widely used approach is based on optimization, which suffers from either getting stuck at local minima, thus not finding the right parameter values, or from finding only one global minimum while there could be multiple parameter values that fit the data. We will discuss a recent approach based on differential algebra and polynomial system solving that does not have this issue.
(Host: Daniel Robertz)