Stochastic nonlinear dynamics pattern formation and growth models

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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.

Original languageEnglish
Article number4
JournalNonlinear Biomedical Physics
Volume1
DOIs
StatePublished - 5 Jul 2007

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