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Stochastic nonlinear dynamics pattern formation and growth models

Author(s): Yaroslavsky Leonid

Journal: Nonlinear Biomedical Physics
ISSN 1753-4631

Volume: 1;
Issue: 1;
Start page: 4;
Date: 2007;
Original page

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.

Tango Rapperswil
Tango Rapperswil

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