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Abstract: this article is devoted, because these com1 putations require the highest quality of random numbers. The ability to do a multidimensional integral relies on properties of uniformity of n-tuples of random numbers and/or the equivalent property that random numbers be uncorrelated. The quality aspect in the other uses is normally less important simply because the models are usually not all that precisely specified. The largest uncertainties are typically due more to approximations arising in the... (Update)
Context of citations to this paper: More
.... [34] while a good overview of parallel pseudorandom number generation can be found in a recent work by the present article s author(s) [28,38]. In our parallel pseudorandom number generation review we are interested, exclusively, with methods for obtaining parallel pseudorandom...
Cited by: More
SPRNG: A Scalable Library for Pseudorandom Number.. - Mascagni, Ceperley.. (1998) (Correct)
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2.1: Testing Parallel Random Number Generators - Ashok Srinivasan (Correct)
2.0: Some Methods Of Parallel Pseudorandom Number Generation - Mascagni (1997) (Correct)
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BibTeX entry: (Update)
A. Srinivasan, D. M. Ceperley and M. Mascagni, "Random Number Generators for Parallel Applications," to appear in Monte Carlo Methods in Chemical Physics, D. Ferguson, J. I. Siepmann, and D. G. Truhlar, editors, Advances in Chemical Physics series, Volume 105, John Wiley and Sons, New York, to appear in 1998. http://citeseer.ist.psu.edu/srinivasan98random.html More
@misc{ srinivasan98random,
author = "A. Srinivasan and D. Ceperley and M. Mascagni",
title = "Random Number Generators for Parallel Applications",
text = "A. Srinivasan, D. M. Ceperley and M. Mascagni, Random Number Generators
for Parallel Applications, to appear in Monte Carlo Methods in Chemical
Physics, D. Ferguson, J. I. Siepmann, and D. G. Truhlar, editors, Advances
in Chemical Physics series, Volume 105, John Wiley and Sons, New York, to
appear in 1998.",
year = "1998",
url = "citeseer.ist.psu.edu/srinivasan98random.html" }
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