How to generate cryptographically strong sequences of pseudo-random bits
SIAM Journal on Computing
An introduction to Kolmogorov complexity and its applications
An introduction to Kolmogorov complexity and its applications
Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator
ACM Transactions on Modeling and Computer Simulation (TOMACS) - Special issue on uniform random number generation
Techniques for parallel quasi-Monte Carlo integration with digital sequences and associated problems
Mathematics and Computers in Simulation - IMACS sponsored Special issue on the second IMACS seminar on Monte Carlo methods
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In this paper we propose a new class of pseudo random number generators based on a special linear recursions modulo m. These generators produce sequences which are permutations of the elements of a ℤm. These sequences have been developed for other applications but the analysis of their statistical properties and the experiments described in this paper show that they are appropriate for multiple integration. Here we present some results from numerical tests comparing the performance of the two proposed generators with Mersenne Twister.