𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Random number generators

✍ Scribed by Marsaglia G.


Book ID
127459036
Year
2003
Tongue
English
Weight
1 MB
Category
Library

No coin nor oath required. For personal study only.

✦ Subjects


Теория вероятностей и математическая статистика


📜 SIMILAR VOLUMES


Random-number generators
✍ Alan B. Forsythe 📂 Article 📅 1968 🏛 Elsevier Science 🌐 English ⚖ 217 KB

A commonly used uniform random-number generator is examined in light of a genetic-simulation problem. Although this generator is often useful, it proves defective in this case. The author suggests that any proposed generator be checked for the properties needed by the simulation problem at hand.

Random number generators
✍ Marsaglia G. 📂 Library 📅 2003 🌐 English ⚖ 176 KB

The author discusses some promising new random number generators, as well as formulates the mathematical basis that makes them random variables in the same sense as more familiar ones in probability and statistics, emphasizing his view that randomness exists only in the sense of mathematics. He disc

Uniform Random Number Generators
✍ MacLaren, M. Donald; Marsaglia, George 📂 Article 📅 1965 🏛 Association for Computing Machinery 🌐 English ⚖ 415 KB
Gaussian random number generators
✍ Thomas, David B.; Luk, Wayne; Leong, Philip H.W.; Villasenor, John D. 📂 Article 📅 2007 🏛 Association for Computing Machinery 🌐 English ⚖ 417 KB
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✍ Gerald P. Dwyer Jr.; K.B. Williams 📂 Article 📅 2003 🏛 Elsevier Science 🌐 English ⚖ 67 KB

We present a random number generator that is useful for serious computations and can be implemented easily in any language that has 32-bit signed integers, for example C, C ++ and FORTRAN. This combination generator has a cycle length that would take two millennia to compute on widely used desktop c

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✍ J. Szczepanski; E. Wajnryb; J.M. Amigó; Maria V. Sanchez-Vives; M. Slater 📂 Article 📅 2004 🏛 Elsevier Science 🌐 English ⚖ 169 KB

Up to now biometric methods have been used in cryptography for authentication purposes. In this paper we propose to use biological data for generating sequences of random bits. We point out that this new approach could be particularly useful to generate seeds for pseudo-random number generators and