Numerical simulation of stochastic ordinary differential equations in biomathematical modelling

M. Carletti, K. Burrage and P.M. Burrage

Mathematics and Computers in Simulation (MATCOM), 2004, vol. 64, issue 2, 271-277

Abstract: In this work we discuss the effects of white and coloured noise perturbations on the parameters of a mathematical model of bacteriophage infection introduced by Beretta and Kuang in [Math. Biosc. 149 (1998) 57]. We numerically simulate the strong solutions of the resulting systems of stochastic ordinary differential equations (SDEs), with respect to the global error, by means of numerical methods of both Euler–Taylor expansion and stochastic Runge–Kutta type.

Keywords: Stochastic ordinary differential equations; Numerical approximations; Biomathematical modelling (search for similar items in EconPapers)
Date: 2004
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Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:64:y:2004:i:2:p:271-277

DOI: 10.1016/j.matcom.2003.09.022

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