Improving random number generators in the Monte Carlo simulations via twisting and combining

DOI10.1016/j.cpc.2007.10.002zbMath1196.65028OpenAlexW2161780169MaRDI QIDQ710283

Rui Guo, Dennis K. J. Lin, Lih-Yuan Deng, Feng-Shan Bai

Publication date: 18 October 2010

Published in: Computer Physics Communications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cpc.2007.10.002

zbMATH Keywords

LCGDX generatorhidden errorsLFGMRGRANLUXSWCtwisting and combining (TAC)wolff algorithm

Mathematics Subject Classification ID

Random number generation in numerical analysis (65C10)

Related Items (5)

Efficient implementation of Bailey and Borwein pseudo-random number generator based on normal numbers ⋮ Random number generators for large-scale parallel Monte Carlo simulations on FPGA ⋮ Efficient computer search of large-order multiple recursive pseudo-random number generators ⋮ On the \(\mathbb{F}_2\)-linear relations of Mersenne Twister pseudorandom number generators ⋮ Large-Order Multiple Recursive Generators with Modulus 2³¹ − 1

Uses Software

• RANLUX
• MersenneTwister
• AS 183

Cites Work

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• Generalized Feedback Shift Register Pseudorandom Number Algorithm
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