Skip to main content
Log in

Stability of stochastic programming methods to stochastic quasigradient computing errors

  • Published:
Cybernetics Aims and scope

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Literature Cited

  1. Yu. M. Ermol'ev, Methods of Stochastic Programming [in Russian], Nauka, Moscow (1976).

    Google Scholar 

  2. A. M. Gupal, Stochastic Methods for Solving Unsmooth Extremal Problems [in Russian], Naukova Dumka, Kiev (1979).

    Google Scholar 

  3. E. A. Nurminskii, Numerical Methods for Solving Determinate and Stochastic Minimax Problems [in Russian], Naukova Dumka, Kiev (1979).

    Google Scholar 

  4. S. M. Ermakov, The Monte Carlo Method and Allied Topics [in Russian], Nauka, Moscow (1966).

    Google Scholar 

Download references

Authors

Additional information

Translated from Kibernetika, No. 3, pp. 117–119, May-June, 1980.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Mikhalevich, M.V. Stability of stochastic programming methods to stochastic quasigradient computing errors. Cybern Syst Anal 16, 434–438 (1980). https://doi.org/10.1007/BF01078265

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01078265

Keywords

Navigation