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Discrete analogue of the Neumann method is not optimal

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Book cover Fundamentals of Computation Theory (FCT 1987)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 278))

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References

  1. Neumann J. von. Various techniques used in connection with random digits. — In:Collected Works,vol.5 — London: Pergamon Press, 1963,pp.768–770.

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  2. Ermakov S.M. The Monte-Carlo Method and related questions. — Izd. M.: Nauka,1971,p.327.

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  3. Knuth D.,Yao A. The complexity of non-uniform random numbers generation in algorithm and complexity. — New-York, Academy Press, 1976,pp.357–428.

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  4. Pokhodzey B.B. Complexity and optimal algorithms of modelling "truncated" geometric and discrete uniform distributions. — Vest.Leningr.Uni.,1986,ser.I,vip.2,pp.118–119.

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  5. Pokhodzey B.B. Optimal method of generating Bernoulli distributions. — ENGRG, New-York, Academic Press,1976,pp.357–428.

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Authors and Affiliations

  1. Department of Mathematics and Mechanics, Leningrad State University, Leingrad, USSR

    S. M. Ermakov & B. B. Pokhodzey

Authors
  1. S. M. Ermakov
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  2. B. B. Pokhodzey
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Lothar Budach Rais Gatič Bukharajev Oleg Borisovič Lupanov

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© 1987 Springer-Verlag Berlin Heidelberg

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Ermakov, S.M., Pokhodzey, B.B. (1987). Discrete analogue of the Neumann method is not optimal. In: Budach, L., Bukharajev, R.G., Lupanov, O.B. (eds) Fundamentals of Computation Theory. FCT 1987. Lecture Notes in Computer Science, vol 278. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-18740-5_26

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  • DOI: https://doi.org/10.1007/3-540-18740-5_26

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-18740-0

  • Online ISBN: 978-3-540-48138-6

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