|
| This Article | ||
| ||
| Share | ||
| Bibliographic References | ||
| Add to: | ||
| | ||
| Search | ||
| ||
| ASCII Text | x | ||
| Andrzej Pekalski, "A Short Guide to Predator--Prey Lattice Models," Computing in Science and Engineering, vol. 6, no. 1, pp. 62-66, January/February, 2004. | |||
| BibTex | x | ||
| @article{ 10.1109/MCISE.2004.1255822, author = {Andrzej Pekalski}, title = {A Short Guide to Predator--Prey Lattice Models}, journal ={Computing in Science and Engineering}, volume = {6}, number = {1}, issn = {1521-9615}, year = {2004}, pages = {62-66}, doi = {http://doi.ieeecomputersociety.org/10.1109/MCISE.2004.1255822}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - Computing in Science and Engineering TI - A Short Guide to Predator--Prey Lattice Models IS - 1 SN - 1521-9615 SP62 EP66 EPD - 62-66 A1 - Andrzej Pekalski, PY - 2004 KW - lattice models KW - predator KW - prey KW - Monte Carlo VL - 6 JA - Computing in Science and Engineering ER - | |||
The motivation for writing this mini review is that many approaches to predator-prey (PP) systems have been discovered, overlooked, and then rediscovered again years later. Briefly describing some of the papers that physicists have written about the subject over the last 20 years thus seems advisable. This review contains no detailed formulas, model descriptions, or techniques; rather, it presents the authors? assumptions, main results, and conclusions. Some unclear points still exist, despite the time elapsed from the first papers, so this review might inspire you to open research in new directions.
Index Terms:
lattice models, predator, prey, Monte Carlo
Citation:
Andrzej Pekalski, "A Short Guide to Predator--Prey Lattice Models," Computing in Science and Engineering, vol. 6, no. 1, pp. 62-66, Jan.-Feb. 2004, doi:10.1109/MCISE.2004.1255822
Usage of this product signifies your acceptance of the Terms of Use.

