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A method of controlling the accuracy of calculations in the statistical gradient method

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Literature Cited

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

  2. 2.

    Yu. M. Kaniovskii, “On the asymptotic normality of a stochastic method of minimization,” in: Methods of Operations Research and the Theory of Reliability in Systems Analysis [in Russian], Inst. Kibernetiki Akad. Nauk UkrSSR, Kiev (1977).

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    Yu. M. Kaniovskii, “Asymptotic properties of a stochastic method of minimization,” in: Operations Research, Vychisl. Tsentr. Akad. Nauk SSSR, No. 7, Moscow (1978).

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    V. G. Karmanov, Mathematical Programming [in Russian], Nauka, Moscow (1975).

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    H. Cramér, Mathematical Methods of Statistics, Princeton Univ. Press, Princeton (1946).

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Additional information

Translated from Kibernetika, No. 5, pp. 87–89, September–October, 1978.

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Kaniovskii, Y.M. A method of controlling the accuracy of calculations in the statistical gradient method. Cybern Syst Anal 14, 736–739 (1978). https://doi.org/10.1007/BF01069314

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Keywords

  • Operating System
  • Artificial Intelligence
  • System Theory
  • Gradient Method
  • Statistical Gradient