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Computer Research and Modeling, 2016, Volume 8, Issue 2, Pages 267–284
DOI: https://doi.org/10.20537/2076-7633-2016-8-2-267-284 (Mi crm143) 		 
This article is cited in 1 scientific paper (total in 1 paper)

Discrete models in population dynamics: advantages, problems, and justification

A. G. Topaja, A. V. Abramovab, S. E. Tolstopyatovb

a Agrophysical Research Institute RAAS 14 Grazhdanskiy pr., Saint-Petersburg, 195220
b Altai State University 61 Lenina pr., Barnaul, Altai region, 656049, Russia
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DOI: https://doi.org/10.20537/2076-7633-2016-8-2-267-284
Abstract: This article is dedicated to applicability justification as well as advantages and disadvantages analysis of discrete models in population dynamics. Discretization is the process of transferring continuous functions, models, and equations into discrete counterparts. We consider how temporal, spatial and structural discretization can be applied for solving typical issues in mathematical ecology, and try to estimate corresponding models adequacy and applicability limitations.
Keywords: discrete models, discretization, Verhulst equation, replication dynamics, mathematical ecology, agent-based approach.
Received: 31.01.2016
Revised: 26.03.2016
UDC: 51-76
Language: Russian
Citation: A. G. Topaj, A. V. Abramova, S. E. Tolstopyatov, “Discrete models in population dynamics: advantages, problems, and justification”, Computer Research and Modeling, 8:2 (2016), 267–284
Citation in format AMSBIB
\Bibitem{TopAbrTol16}
\by A.~G.~Topaj, A.~V.~Abramova, S.~E.~Tolstopyatov
\paper Discrete models in population dynamics: advantages, problems, and justification
\jour Computer Research and Modeling
\yr 2016
\vol 8
\issue 2
\pages 267--284
\mathnet{http://mi.mathnet.ru/crm143}
\crossref{https://doi.org/10.20537/2076-7633-2016-8-2-267-284}
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    • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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