• DocumentCode
    3632948
  • Title

    Improving Pseudo-random Generators

  • Author

    Aleksander Danko;Wiktor Danko

  • Author_Institution
    Biatystok Tech. Univ., Bialystok, Poland
  • fYear
    2009
  • Firstpage
    163
  • Lastpage
    166
  • Abstract
    It is easy to observe that standard pseudo-random generators of compilers of C, Pascal and many other most often used programming languages are not perfect and faithful. In particular, some of them are not equiprobable. This observation remains valid even for “professional” pseudo-random generators considered as very good (cf. [2]). In this paper we propose a method for improving the quality of pseudo-random generators. However, the proposed method will be efficacious if the pseudo-random generator satisfies the following postulate formulated in terms of probability theory. Namely, it is required that the results of realization of two (successive) assignments x:= random, y:= random, treated as random events, are independent.
  • Keywords
    "Random number generation","Computational modeling","Cost accounting","Biometrics","Program processors","Computer languages","Stochastic processes","Computer simulation","Testing","Probability distribution"
  • Publisher
    ieee
  • Conference_Titel
    Biometrics and Kansei Engineering, 2009. ICBAKE 2009. International Conference on
  • Type

    conf

  • DOI
    10.1109/ICBAKE.2009.24
  • Filename
    5223218