|
|
Researchspace >
General science, engineering & technology >
General science, engineering & technology >
General science, engineering & technology >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10204/3243
|
| Title: | Parametric identification of the model with one predator and two prey species |
| Authors: | Shatalov, M Greeff, JC Joubert, SV Fedotov, I |
| Keywords: | Parametric models Lion population Coefficients Inverse method Statistical methods Buffelspoort TIME 2008 Technology and its Integration into Mathematics Education Conference TIME |
| Issue Date: | Sep-2008 |
| Publisher: | Buffelspoort TIME 2008 Peer-reviewed Conference Proceedings |
| Citation: | Shatalov, M, Greeff, JC, Fedotov, I and Joubert, SV. 2008. Parametric identification of the model with one predator and two prey species. Technology and its Integration into Mathematics Education Conference (TIME). Buffelspoort, South Africa, 22 - 26 September 2008, pp 101-109 |
| Abstract: | In this paper a mathematical model describing the interaction of a lion population with that of the zebra and wildebeest populations is considered. The traditional method uses a model with known coefficients and a CAS numerical routine to determine a numerical solution that can be compared to historical data about the populations. The numerical values of the coefficients involved are usually "educated guesses" made by the team consisting of, for example, biologists, game rangers and experienced applied mathematicians. The coefficients are usually described in terms of quantities such as "carrying capacity", "birth rate" et cetera, and might mean little to the mathematician. In this paper an "inverse method" is considered, that is, a method easy enough for senior undergraduate and graduate mathematics majors to understand and apply as part of a "biomechanics" team in the field. This approach considers the model in question to have unknown coefficients. Using a CAS, numerical integration is applied using the historical data and then elementary statistical methods are used to determine the value of the coefficients |
| Description: | Buffelspoort TIME2008 Peer-reviewed Conference Proceedings, 22 – 26 September |
| URI: | http://hdl.handle.net/10204/3243 |
| ISBN: | 9780620434546 |
| Appears in Collections: | Advanced mathematical modelling and simulation General science, engineering & technology
|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
|