✦ LIBER ✦

Uniform Random Number Generators

✍ Scribed by MacLaren, M. Donald; Marsaglia, George

Book ID: 111903373
Publisher: Association for Computing Machinery
Year: 1965
Tongue: English
Weight: 415 KB
Volume: 12
Category: Article
ISSN: 0004-5411
DOI: 10.1145/321250.321257

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Uniform random number generators for par

Uniform random number generators for parallel computers

✍ István Deák 📂 Article 📅 1990 🏛 Elsevier Science 🌐 English ⚖ 602 KB

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.

Stability of a Class of Non-uniform Rand

Stability of a Class of Non-uniform Random Number Generators

✍ R.F. Tichy 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 414 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

Portable random number generators

✍ 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

Biometric random number generators

✍ 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