|Date: Friday, April 10, 2015
Location: 1084 East Hall (3:00 PM to 4:00 PM)
Title: Parameters and polynomials
Abstract: A model can typically have different behavior in various regions of a parameter space. For example, for one set of the parameters, the model could have no steady-state solutions while, in another region of the parameter space, it could have multiple stable steady-state solutions. This talk will explain how computational techniques in the area of numerical algebraic geometry can help one understand the parameter space for a nonlinear model. These techniques will be applied to various models, including the Kuramoto model and a long-term memory model.
Speaker: Jonathan Hauenstein
Institution: Applied and Computational Mathematics and Statistics, Notre Dame University
Event Organizer: Necmiye Ozay firstname.lastname@example.org