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This article is cited in 1 scientific paper (total in 1 paper)
MATHEMATICAL MODELING AND NUMERICAL SIMULATION
The similarity dimension of the random iterated function system
P. V. Moskalev, A. G. Buhovetc Voronezh State Agricultural University, 1 Michurin street, Voronezh, 394087, Russia
Abstract:
In this paper we consider the properties of the random iterated function systems (RIFS) obtained using a generalization of the Chaos game algorithm. Used for the RIFS simulation R is a free software environment for statistical computing and graphics. The similarity dimension by the polygonal protofractals $Z = {z_j}, j = 1, 2,... , k$ nonmonotonically depends on the RIFS parameters $d_S(\mu|k )$ with an extreme value $\max_{0<\mu<\infty} d_S(\mu|k)=-\frac{\mathrm{ln}k}{\mathrm{ln}(1/(1+\mu))}$.
Keywords:
similarity dimension, random iterated function system, Sierpinski polygon.
Received: 02.05.2012
Citation:
P. V. Moskalev, A. G. Buhovetc, “The similarity dimension of the random iterated function system”, Computer Research and Modeling, 4:4 (2012), 681–691
Linking options:
https://www.mathnet.ru/eng/crm521 https://www.mathnet.ru/eng/crm/v4/i4/p681
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Abstract page: | 135 | Full-text PDF : | 27 | References: | 21 |
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