Stochastic nonlinear dynamics pattern formation and growth models

Leonid P Yaroslavsky

Department of Interdisciplinary Studies, Faculty of Engineering, University of Tel Aviv, Tel Aviv 69978, Israel

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Nonlinear Biomedical Physics 2007, 1:4doi:10.1186/1753-4631-1-4


Published:	5 July 2007

Abstract

Stochastic evolutionary growth and pattern formation models are treated in a unified way in terms of algorithmic models of nonlinear dynamic systems with feedback built of a standard set of signal processing units. A number of concrete models is described and illustrated by numerous examples of artificially generated patterns that closely imitate wide variety of patterns found in the nature.