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自动化与信息科学期刊
SJR: 0.232 SNIP: 0.464 CiteScore™: 0.27

ISSN 打印: 1064-2315
ISSN 在线: 2163-9337

卷:
卷 51, 2019 卷 50, 2018 卷 49, 2017 卷 48, 2016 卷 47, 2015 卷 46, 2014 卷 45, 2013 卷 44, 2012 卷 43, 2011 卷 42, 2010 卷 41, 2009 卷 40, 2008 卷 39, 2007 卷 38, 2006 卷 37, 2005 卷 36, 2004 卷 35, 2003 卷 34, 2002 卷 33, 2001 卷 32, 2000 卷 31, 1999 卷 30, 1998 卷 29, 1997 卷 28, 1996

自动化与信息科学期刊

DOI: 10.1615/JAutomatInfScien.v43.i9.30
pages 34-43

Collective Processes Modeling by Means of Particles with Complex Structure

Boris A. Beletskiy
V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine, Kiev, Ukraine

ABSTRACT

The new method of collective processes modeling by means of the set of locally interacting particles with internal structure is proposed. In this case we consider particles, which structure is specified by binary tree. The suggested method is realized in the form of Java-class library.

REFERENCES

  1. Biletskyy B.A., Modeling of multicomponent systems.

  2. Metropolis N., Rosenbluth A.W., Rosenbluth M.N., Teller A.H., Teller E., Equations of state calculations by fast computing machines.

  3. Feller W., An introduction to probability theory and its applications, in 2 volumes (Russian translation).


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