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Mathematics and Computers in Simulation
Volume 78, Issue 1, June 2008, Pages 1-11
 
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doi:10.1016/j.matcom.2007.05.001    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2007 IMACS Published by Elsevier Ltd.

Nonstandard finite-difference methods for predator–prey models with general functional response

Dobromir T. Dimitrova, E-mail The Corresponding Author and Hristo V. Kojouharovb, Corresponding Author Contact Information, E-mail The Corresponding Author

aDepartment of Ecology and Evolutionary Biology, University of Tennessee at Knoxville, Knoxville, TN 37996-1610, United States bDepartment of Mathematics, University of Texas at Arlington, Arlington, TX 76019-0408, United States

Received 1 September 2006; 
revised 3 May 2007; 
accepted 4 May 2007. 
Available online 10 May 2007.

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Abstract

Predator–prey systems with linear and logistic intrinsic growth rate of the prey are analyzed. The models incorporate the mutual interference between predators into the functional response which stabilizes predator–prey interactions in the system. Positive and elementary stable nonstandard (PESN) finite-difference methods, having the same qualitative features as the corresponding continuous predator–prey models, are formulated and analyzed. The proposed numerical techniques are based on a nonlocal modeling of the growth-rate function and a nonstandard discretization of the time derivative. This discretization approach leads to significant qualitative improvements in the behavior of the numerical solution. In addition, it allows for the use of an essentially implicit method for the cost of an explicit method. Applications of the PESN methods to specific predator–prey systems are also presented.

Keywords: Finite-difference; Nonstandard; Elementary stable; Predator–prey; Predator interference

Article Outline

1. Introduction
2. Definitions and preliminaries
3. PESN methods for predator–prey systems with linear intrinsic growth rate of the prey
4. PESN methods for predator–prey systems with logistic intrinsic growth rate of the prey
5. Numerical simulations
6. Conclusions
Acknowledgements
References



 
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