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New approach to dynamical Monte Carlo methods: application to an epidemic model

✍ Scribed by O.E. Aiello; M.A.A. da Silva


Book ID
104340918
Publisher
Elsevier Science
Year
2003
Tongue
English
Weight
261 KB
Volume
327
Category
Article
ISSN
0378-4371

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✦ Synopsis


In this work we introduce a new approach to dynamical Monte Carlo methods to simulate Markovian processes. We apply this approach to formulate and study an epidemic generalized SIRS model. The results are in excellent agreement with the forth order Runge-Kutta Method in a region of deterministic solution. We also show that purely local interactions reproduce a poissonian-like process at mesoscopic level. The simulations for this case are checked self-consistently using a stochastic version of the Euler Method.


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