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Matematicheskoe modelirovanie, 2010, Volume 22, Number 3, Pages 120–144 (Mi mm2953)  

This article is cited in 2 scientific papers (total in 2 papers)

Canonical variables for some biological models

Y. V. Bibik, D. A. Sarancha

Institution of Russian Academy of Sciences Dorodnicyn Computing Centre of RAS
Full-text PDF (580 kB) Citations (2)
References:
Abstract: Canonical variables for the certain class of biological models including a special case of the eguations Lotka-Volterra are constructed. It has allowed to receive expressions for dynamics in quadratures and to study structures of trajectories in a phase plane of models.
Received: 18.10.2006
Revised: 17.06.2009
Bibliographic databases:
Document Type: Article
UDC: 519.6+536.78
Language: Russian
Citation: Y. V. Bibik, D. A. Sarancha, “Canonical variables for some biological models”, Matem. Mod., 22:3 (2010), 120–144
Citation in format AMSBIB
\Bibitem{BibSar10}
\by Y.~V.~Bibik, D.~A.~Sarancha
\paper Canonical variables for some biological models
\jour Matem. Mod.
\yr 2010
\vol 22
\issue 3
\pages 120--144
\mathnet{http://mi.mathnet.ru/mm2953}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=2676355}
\zmath{https://zbmath.org/?q=an:05765110}
Linking options:
  • https://www.mathnet.ru/eng/mm2953
  • https://www.mathnet.ru/eng/mm/v22/i3/p120
  • This publication is cited in the following 2 articles:
    1. Yazykova A.B., Korkotashvili L.V., Kolesov S.A., Fedulova E.N., Fedorova O.V., “Primenenie matematicheskogo i statisticheskogo podkhoda pri izuchenii otdelnykh metabolitov u detei s vospalitelnymi zabolevaniyami kishechnika: postroenie modeli polinomialnoi regressii”, Vrach-aspirant, 52 (2012), 563–570  elib
    2. Yu. V. Bibik, D. A. Sarancha, “Algebraic features of some generalizations of the Lotka–Volterra system”, Comput. Math. Math. Phys., 50:10 (2010), 1655–1669  mathnet  crossref  adsnasa  isi
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Математическое моделирование
    Statistics & downloads:
    Abstract page:822
    Full-text PDF :340
    References:87
    First page:18
     
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