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Scholars Day: April 7, 2010

Discrete Logistic Models

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)
Topic: Math
Location: 107 Holmes
Time: 11:30 am (Session II)