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Particle algorithms for population dynamics in flows
Perlekar, P.; Benzi, R.; Pigolotti, Simone; Toschi, F.
Universitat Politècnica de Catalunya. Departament de Física i Enginyeria Nuclear
We present and discuss particle based algorithms to numerically study the dynamics of population subjected to an advecting flow condition. We discuss few possible variants of the algorithms and compare them in a model compressible flow. A comparison against appropriate versions of the continuum stochastic Fisher equation (sFKPP) is also presented and discussed. The algorithms can be used to study populations genetics in fluid environments.
Àrees temàtiques de la UPC::Física::Física de fluids
Dynamics
Dinàmica de fluids
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/publishedVersion
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