Результаты поиска по 'mathematicity of biology':
Найдено статей: 32
  1. Titlyanova A.A.
    Schools on mathematical biology 1973–1992
    Computer Research and Modeling, 2016, v. 8, no. 2, pp. 411-422

    This is a brief review of the subjects, and an impression of some talks, which were given at the Schools on modelling complex biological systems. Those Schools reflected a logical progress in this way of thinking in our country and provided a place for collective “brain-storming” inspired by prominent scientists of the last century, such as A. A. Lyapunov, N. V. Timofeeff-Ressovsky, A. M. Molchanov. At the Schools, general issues of methodology of mathematical modeling in biology and ecology were raised in the form of heated debates, the fundamental principles for how the structure of matter is organized and how complex biological systems function and evolve were discussed. The Schools served as an important sample of interdisciplinary actions by the scientists of distinct perceptions of the World, or distinct approaches and modes to reach the boundaries of the Unknown, rather than of different specializations. What was bringing together the mathematicians and biologists attending the Schools was the common understanding that the alliance should be fruitful. Reported in the issues of School proceedings, the presentations, discussions, and reflections have not yet lost their relevance so far and might serve as certain guidance for the new generation of scientists.

    Keywords: mathematical modeling, complex biological systems, levels of organization of biological systems, biosphere, ecological modeling.
    Views (last year): 2.
  2. Ershov N.M., Popova N.N.
    Natural models of parallel computations
    Computer Research and Modeling, 2015, v. 7, no. 3, pp. 781-785

    Course “Natural models of parallel computing”, given for senior students of the Faculty of Computational Mathematics and Cybernetics, Moscow State University, is devoted to the issues of supercomputer implementation of natural computational models and is, in fact, an introduction to the theory of natural computing, a relatively new branch of science, formed at the intersection of mathematics, computer science and natural sciences (especially biology). Topics of the natural computing include both already classic subjects such as cellular automata, and relatively new, introduced in the last 10–20 years, such as swarm intelligence. Despite its biological origin, all these models are widely applied in the fields related to computer data processing. Research in the field of natural computing is closely related to issues and technology of parallel computing. Presentation of theoretical material of the course is accompanied by a consideration of the possible schemes for parallel computing, in the practical part of the course it is supposed to perform by the students a software implementation using MPI technology and numerical experiments to investigate the effectiveness of the chosen schemes of parallel computing.

    Keywords: natural computing, evolutionary algorithms, artificial life.
    Views (last year): 17. Citations: 2 (RSCI).
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