Abstract
Many phenomena, like the shape of a snowflake, the size distribution of asteroids or the roughness of a crack surface can only be understood as the end product of a dynamical process which has random and irreversible ingredients. In the last ten years much progress has been achieved in understanding this kind of phenomenon, by studying so-called “growth models” [5.1-3]. These models are very difficult to deal with analytically and for this reason most of the results obtained come from numerical simulations.
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Herrmann, H.J. (1992). Simulation of Random Growth Processes. In: Binder, K. (eds) The Monte Carlo Method in Condensed Matter Physics. Topics in Applied Physics, vol 71. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-02855-1_5
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