title: Stochastic nonlinear dynamics pattern formation and growth models.
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.
authors.affiliation: Department of Interdisciplinary Studies, Faculty of Engineering, University of Tel Aviv, Tel Aviv 69978, Israel. yaro@eng.tau.ac.il.
authors.forename: Leonid P
authors.initials: LP
authors.lastname: Yaroslavsky