Populations are often described by a logistic model, in which the rate of the population growth is limited by population density. When population is measured continuously, a logistic function follows an S-curve. However, when a time-lag is introduced, and the measurements are made in discrete intervals, the model may show more complicated dynamics such as damping oscillations, cycles, or chaos. This talk explores such systems.
|Presenter:||Heather McLendon (Undergraduate Student)|
|Time:||11:30 am (Session II)|
Writing @ The Graduate Level
6 pm - 7 pm