Результаты поиска по 'Computing':
Найдено авторов: 1
  1. Wang X.D. (Xin W.N.)
Найдено статей: 403
  1. Degtyarev A.B., Yezhakova T.R., Khramushin V.N.
    Algorithmic construction of explicit numerical schemes and visualization of objects and processes in the computational experiment in fluid mechanics
    Computer Research and Modeling, 2015, v. 7, no. 3, pp. 767-774

    The paper discusses the design and verification stages in the development of complex numerical algorithms to create direct computational experiments in fluid mechanics. The modeling of physical fields and nonstationary processes of continuum mechanics, it is desirable to rely on strict rules of construction the numerical objects and related computational algorithms. Synthesis of adaptive the numerical objects and effective arithmetic- logic operations can serve to optimize the whole computing tasks, provided strict following and compliance with the original of the laws of fluid mechanics. The possibility of using ternary logic enables to resolve some contradictions of functional and declarative programming in the implementation of purely applied problems of mechanics. Similar design decisions lead to new numerical schemes tensor mathematics to help optimize effectiveness and validate correctness the simulation results. The most important consequence is the possibility of using interactive graphical techniques for the visualization of intermediate results of modeling, as well as managed to influence the course of computing experiment under the supervision of engineers aerohydrodynamics– researchers.

    Keywords: tensor mathematics, large particles, fluidmechanics, computational experiment, design, verifying Citation:.
    Views (last year): 1.
  2. Ershov N.M.
    Non-uniform cellular genetic algorithms
    Computer Research and Modeling, 2015, v. 7, no. 3, pp. 775-780

    In this paper, we introduce the concept of non-uniform cellular genetic algorithm, in which a number of parameters that affect the operation of genetic operators is dependent on the location of the cells of a given cellular space. The results of numerical comparison of non-uniform cellular genetic algorithms with the standard genetic algorithms, showing the advantages of the proposed approach while minimizing multimodal functions with a large number of local extrema, are presented. The coarse-grained parallel implementation of the non-uniform algorithms using the technology of MPI is considered.

    Keywords: evolutionary algorithms, genetic algorithms, parallel computing.
    Views (last year): 9. Citations: 3 (RSCI).
  3. 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).
Pages: « first previous

Indexed in Scopus

Full-text version of the journal is also available on the web site of the scientific electronic library eLIBRARY.RU

The journal is included in the Russian Science Citation Index

The journal is included in the RSCI

International Interdisciplinary Conference "Mathematics. Computing. Education"

Copyright © 2009–2024 Institute of Computer Science