Seminar Event Detail

Applied Interdisciplinary Mathematics (AIM)

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


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