10:00 AM-12:00 PM
Nonlinear dynamical systems are often studied by simply computing long trajectories. This minisymposium presents alternative methods based on set-oriented algorithms for the study of invariant manifolds, chaotic and random dynamical systems and experimental data. These methods provide new insights that could not be obtained by long term simulation. They have applications to spacecraft missions, analysis of experimental time series and bifurcations in chaotic or random dynamical systems. Anyone who is frustrated at the lack of information contained in long term simulations should attend this session.
Organizers: Philip J. Aston
University of Surrey, United Kingdom
Universität Bayreuth, Germany
LMH, 1/11/99, MMD, 3/4/99