Probability on Finite and Discrete Set and Uniform Distribution

Hiroyuki Okazaki

Formalized Mathematics (2009)

  • Volume: 17, Issue: 2, page 173-178
  • ISSN: 1426-2630

Abstract

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A pseudorandom number generator plays an important role in practice in computer science. For example: computer simulations, cryptology, and so on. A pseudorandom number generator is an algorithm to generate a sequence of numbers that is indistinguishable from the true random number sequence. In this article, we shall formalize the "Uniform Distribution" that is the idealized set of true random number sequences. The basic idea of our formalization is due to [15].

How to cite

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Hiroyuki Okazaki. "Probability on Finite and Discrete Set and Uniform Distribution." Formalized Mathematics 17.2 (2009): 173-178. <http://eudml.org/doc/266830>.

@article{HiroyukiOkazaki2009,
abstract = {A pseudorandom number generator plays an important role in practice in computer science. For example: computer simulations, cryptology, and so on. A pseudorandom number generator is an algorithm to generate a sequence of numbers that is indistinguishable from the true random number sequence. In this article, we shall formalize the "Uniform Distribution" that is the idealized set of true random number sequences. The basic idea of our formalization is due to [15].},
author = {Hiroyuki Okazaki},
journal = {Formalized Mathematics},
language = {eng},
number = {2},
pages = {173-178},
title = {Probability on Finite and Discrete Set and Uniform Distribution},
url = {http://eudml.org/doc/266830},
volume = {17},
year = {2009},
}

TY - JOUR
AU - Hiroyuki Okazaki
TI - Probability on Finite and Discrete Set and Uniform Distribution
JO - Formalized Mathematics
PY - 2009
VL - 17
IS - 2
SP - 173
EP - 178
AB - A pseudorandom number generator plays an important role in practice in computer science. For example: computer simulations, cryptology, and so on. A pseudorandom number generator is an algorithm to generate a sequence of numbers that is indistinguishable from the true random number sequence. In this article, we shall formalize the "Uniform Distribution" that is the idealized set of true random number sequences. The basic idea of our formalization is due to [15].
LA - eng
UR - http://eudml.org/doc/266830
ER -

References

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