Prediction error growth in a more realistic atmospheric toy model with three spatiotemporal scales

Controlling Spatiotemporal Chaos in a Realistic El Niño Prediction Model

A method for controlling low-order chaotic behavior of continuous spatiotemporal systems is developed and demonstrated in a complex, realistic 3D partial differential equation model that is used successfully for predicting El Niño events in the equatorial Pacific. An unstable periodic orbit that involves a full-domain oscillation is stabilized using a feedback control applied to a single degree...

Error Threshold and Mutational Meltdown in a Toy Model

We introduce a toy model for interacting populations connected by mutations and limited by a shared resource. We study the presence of Eigen’s error threshold and mutational meltdown. The phase diagram of the system shows that the extinction of the whole population due to mutational meltdown can occur well before an eventual error threshold transition. Typeset using REVTEX 1 The evolutionary pr...

Toward a more realistic holographic QCD model

By matching the Dp − Dq system in type II superstring theory with the Regge trajectories of vector and axial-vector meson spectra, a possible 5-dimension metric of a Dp−Dq soft-wall model has been determined. The dependence of the metric parameters on Regge trajectory parameters has been demonstrated. It is shown that the models defined in Dp brane background for p = 3 or 4 can be consistent wi...

A More Realistic Random Direction Mobility Model

Mobility models are widely used in the simulation-based performance analysis of mobile networks. However, there is a trade-off between simple parametrization and realistic movement patterns. Synthetic models like the random waypoint and random direction model are simple to implement, but they only provide unrealistic simple user sojourn densities and traffic flows. In contrast, graphor trip-bas...

Complete Growth Series of Coxeter Groups with more than Three Generators