TY - JOUR
T1 - Stochastic nonlinear dynamics pattern formation and growth models
AU - Yaroslavsky, Leonid P.
PY - 2007/7/5
Y1 - 2007/7/5
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=78649968708&partnerID=8YFLogxK
U2 - 10.1186/1753-4631-1-4
DO - 10.1186/1753-4631-1-4
M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???
AN - SCOPUS:78649968708
SN - 1753-4631
VL - 1
JO - Nonlinear Biomedical Physics
JF - Nonlinear Biomedical Physics
M1 - 4
ER -