Advertisement

Cybernetics and Systems Analysis

, Volume 45, Issue 2, pp 187–203 | Cite as

Models and information technologies for decision support during structural and technological changes

  • I. V. SergienkoEmail author
  • M. V. Mikhalevich
  • P. I. StetsyukEmail author
  • L. B. Koshlai
Systems Analysis

Models, numerical algorithms, and database and software components aimed at decision support during the elaboration of energy-saving measures are considered. Modern methods of nonsmooth optimization are applied to solve relevant optimization problems.

Keywords

intersectoral balance methods of nondifferentiable optimization Lagrangian multipliers energy saving 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    J. Kornai, Economics of Shortage, North Holland, Amsterdam (1980).Google Scholar
  2. 2.
    I. V. Sergienko, M. V. Mikhalevich, P. I. Stetsyuk, and L. B. Koshlai, “Interindustry model of planned technological-structural changes,” Cybern. Syst. Analysis, 34, No. 3, 319–330 (1998).zbMATHCrossRefGoogle Scholar
  3. 3.
    M. V. Mikhalevich and I. V. Sergienko, Modeling Transition Economy. Models, Methods, Information Technologies [in Russian], Naukova Dumka, Kyiv (2005).Google Scholar
  4. 4.
    M. V. Mikhalevich, I. V. Sergienko, and L. B. Koshlai, “Simulation of foreign trade activity under transition economy conditions,” Cybern. Syst. Analysis, 37, No. 4, 515–532 (2001).zbMATHCrossRefMathSciNetGoogle Scholar
  5. 5.
    M. V. Mikhalevich and I. V. Sergienko, “Applying stochastic optimization methods to analyze transformation processes in economy,” Systemni Doslidzh. Inform. Tekhnol., No. 4, 7–29 (2004).Google Scholar
  6. 6.
    W. Leontief, Essays in Economics. Theories and Theorizing, Oxford Univ. Press, New York (1966).Google Scholar
  7. 7.
    E. G. Dolan and D. E. Lindsey, Macroeconomics, Dryden Press, Chicago (1991).Google Scholar
  8. 8.
    N. Z. Shor, Methods of Minimization of Nondifferentiable Functions and Their Applications [in Russian], Naukova Dumka, Kyiv (1979).Google Scholar
  9. 9.
    N. Z. Shor and N. G. Zhurbenko, “Minimization method using space dilatation toward the difference of two sequential gradients,” Kibernetika, No. 3, 51–59 (1971).Google Scholar
  10. 10.
    N. Z. Shor and P. I. Stetsyuk, “Modified r-algorithm to find the global minimum of polynomial functions,” Cybern. Syst. Analysis, 33, No. 4, 482–497 (1997).zbMATHCrossRefMathSciNetGoogle Scholar
  11. 11.
    M. V. Mikhalevich, “Generalized stochastic method of centers,” Cybernetics, 16, No. 2, 292–296 (1980).zbMATHCrossRefGoogle Scholar
  12. 12.
    N. Z. Shor and S. I. Stetsenko, Quadratic Extremum Problems and Nondifferentiable Optimization [in Russian], Naukova Dumka, Kyiv (1989).Google Scholar
  13. 13.
    N. Z. Shor, Nondifferentiable Optimization and Polynomial Problems, Kluwer, Dordrecht (1998).zbMATHGoogle Scholar
  14. 14.
    P. I. Stetsyuk, “New quadratic models for the maximum weighted cut problem,” Cybern. Syst. Analysis, 42, No. 1, 54–64 (2006).zbMATHCrossRefMathSciNetGoogle Scholar
  15. 15.
    O. I. Ponomarenko, M. O. Perestyk, and V. M. Burim, Modern Economic Analysis, Pt. 2, Macroeconomics [in Ukrainian], Vyshcha Shkola, Kyiv (2004).Google Scholar

Copyright information

© Springer Science+Business Media, Inc. 2009

Authors and Affiliations

  1. 1.V. M. Glushkov Institute of CyberneticsNational Academy of Sciences of UkraineKyivUkraine
  2. 2.Ukrainian State University of Finance and International TradeKyivUkraine

Personalised recommendations