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  Browse All Reviews > Mathematics Of Computing (G) > Probability And Statistics (G.3) > Random Number Generation (G.3...)  
 
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  1-10 of 37 Reviews about "Random Number Generation (G.3...)": Date Reviewed
  Self-stabilizing repeated balls-into-bins
Becchetti L., Clementi A., Natale E., Pasquale F., Posta G. Distributed Computing 32(1): 59-68, 2019.  Type: Article

Starting with an arbitrary assignment of n balls to n bins, the balls-into-bins process repeatedly selects one ball from a non-empty bin and reassigns the selected ball to one of the n
May 9 2019
  Random numbers and computers
Kneusel R., Springer International Publishing, New York, NY, 2018. 260 pp.  Type: Book (978-3-319776-96-5), Reviews: (2 of 3)

[CR has previously published a review of this book (see Review CR146350). The author of the book has written a rebuttal to the review.]...

Feb 13 2019
  Random numbers and computers
Kneusel R., Springer International Publishing, New York, NY, 2018. 260 pp.  Type: Book (978-3-319776-96-5), Reviews: (3 of 3)

[CR has previously published a review of this book (see Review CR146350). The author of the book has written a rebuttal to the review (see Review CR146432), and the reviewer has written a re-rebuttal.]...

Feb 13 2019
  Random numbers and computers
Kneusel R., Springer International Publishing, New York, NY, 2018. 260 pp.  Type: Book (978-3-319776-96-5), Reviews: (1 of 3)

Randomness is a fascinating topic, with contradictory opinions on what causes it. Rather than using this term to mean lawlessness, I personally define it as the presence of an inherent variability in the experimental setup that makes t...

Dec 20 2018
  GPU random numbers via the tiny encryption algorithm
Zafar F., Olano M., Curtis A.  HPG 2010 (Proceedings of the Conference on High Performance Graphics, Saarbrucken, Germany, Jun 25-27, 2010) 133-141, 2010.  Type: Proceedings

Random number generators (RNGs) serve many purposes, from Monte Carlo simulations to computer graphics. The modern graphics processing unit (GPU) is a high-performance programmable parallel processor. A good GPU RNG should provide spee...

May 26 2011
  Automatic sampling with the ratio-of-uniforms method
Leydold J. ACM Transactions on Mathematical Software 26(1): 78-98, 2000.  Type: Article

By putting together a number of ideas from previous research, the author creates an efficient sampling method for generating random variables for a wide class of continuous distributions that include the class of log-concave densities....

Oct 1 2000
  Beware of linear congruential generators with multipliers of the form a = ±2q ±2r
L’Ecuyer P., Simard R. ACM Transactions on Mathematical Software 25(3): 367-374, 1999.  Type: Article

Pseudo-random number generators based on linear congruence relations using a congruence base of a Mersenne prime (one that is one less than a power of two) and a multiplier obtained from the sum or difference of two powers of two have ...

Jan 1 2000
  Algorithm 780: exponential pseudorandom distribution
Hamilton K. ACM Transactions on Mathematical Software 24(1): 102-1060, 1998.  Type: Article

Hamilton starts with a brief overview of the algorithms proposed for generating pseudorandom numbers with an exponential distribution. However, the majority of this paper focuses on a paper by Ahrens and Dieter [1]. Despite the fact th...

Jan 1 1999
  Multiplicative, congruential random-number generators with multiplier ± 2k1 ± 2k2 and modulus 2p − 1
Wu P. ACM Transactions on Mathematical Software 23(2): 255-265, 1997.  Type: Article

Multiplicative congruential generators are at the root of most numeric simulations, and the computers are always hungry for pseudorandom numbers. The 32-bit-based generators are still appropriate for most users, but there is a need to ...

Apr 1 1998
  Inversive and linear congruential pseudorandom number generators in empirical tests
Leeb H., Wegenkittl S. ACM Transactions on Modeling and Computer Simulation 7(2): 272-286, 1997.  Type: Article

Two types of pseudorandom number generators are compared, the well-known linear congruential pseudorandom generator and its inversive counterpart. The latter is familiar to specialists, but is not yet routinely applied. Thus, a compari...

Mar 1 1998
 
 
 
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