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Modelling using stochastic, finite state cellular automata: Rule inference from continuum models

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Publication:1614209
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DOI10.1016/S0307-904X(01)00078-6zbMath1066.68152MaRDI QIDQ1614209

Vincent Guinot

Publication date: 3 September 2002

Published in: Applied Mathematical Modelling (Search for Journal in Brave)


zbMATH Keywords

ordinary differential equationscellular automataecological modelling


Mathematics Subject Classification ID

Cellular automata (computational aspects) (68Q80) Dynamical aspects of cellular automata (37B15)


Related Items (5)

Tumor growth modelling by cellular automata ⋮ Porosity and Diffusion in Biological Tissues. Recent Advances and Further Perspectives ⋮ Computational modelling of nonlinear calcium waves ⋮ Cellular automata and Riccati equation models for diffusion of innovations ⋮ WIND DEPENDENT DISPERSION PATTERN CLASSIFICATION IN THE POLLINATION OF GENETICALLY MODIFIED MAIZE




Cites Work

  • Numerical treatment of ordinary differential equations by extrapolation methods
  • The properties of a stochastic model for the predator-prey type of interaction between two species
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