CMX Lunch Seminar
Annenberg 213
On reconstructing unknown state and parameters in hydrodynamic systems from time-series data
Vincent Martinez,
Assistant Professor of Mathematics,
Department of Mathematics and Statistics,
The City University of New York - Hunter College,
This talk will describe a basic approach to the problem of simultaneous state and parameter reconstruction from low-dimensional time-series data in the context of hydrodynamic systems. We present theorems identifying conditions under which these approaches are guaranteed to succeed in an idealized setting that give some clarity to the general issue of reconstructability. Ultimately, the success of these algorithms rely on a crucial nonlinear mechanism common to these systems, the exact role of which will be discussed.
For more information, please contact Jolene Brink by phone at (626)395-2813 or by email at [email protected] or visit CMX Website.
Event Series
CMX Lunch Series