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Results
A computer from The University of Maryland’s computer lab 2107 in the Jeong H. Kim Building was used for the Scavenger project completed by Twyla Keating, David Garvey, and Tyesn Barley.
CPU Model |
Intel Core i5-4590 |
CPU Speed |
3.30 GHz |
RAM |
16 GB |
Hard Drive Size |
465 GB |
MATLAB Version |
R2018a |
OS Name |
Microsoft Windows 10 Enterprise |
Version |
10.0.17134 Build 17134 |
Part 1 Results:
The top of the three graphs describes the population sizes for seals (u), polar bears (v), lemmings (v), and foxes (y), and the abundance of seal carrion (y) in relation to time. The bottom left depicts the relation between the abundance of seal carrion and fox population where the bottom right depicts the dependence of fox population on seal carrion and lemming population. The system of equations depicted in the top right of the GUI is the system of equations that the model is based on. The inclusion of the system of ODEs along with the explicit labeling of the parameters serves to illustrate the relations among the conditions of concern and make the interface self-contained. This makes it easier for a user to designate initial conditions without having to reference the paper directly.
Part 2 Results:
The graphs of the solutions to the ODEs with seasonality differ from the paper. In the paper, the graphs are extremely cyclical in nature with not much variability. Our graphs start out chaotic and become more stable as time goes on, becoming cyclical. The main difference is that our graphs have much more variability when β_1 is changed compared to the paper.
The graphs of the solutions to the ODEs with seasonality differ from the paper. In the paper, the graphs are extremely cyclical in nature with not much variability. Our graphs start out chaotic and become more stable as time goes on, becoming cyclical. The main difference is that our graphs have much more variability when β_1 is changed compared to the paper.