School of Computer Science
University of Oklahoma, Norman
February 18, 2010
Foothills Laboratory 2, Small Auditorium
This talk will provide an overview of information filters (which is algebraically equivalent to the Kalman filter) and explore its potential as a tool for large scale data assimilation problems where the dimension (m) of the observation space is larger than that (n) for the state space.