Results 41 to 50 of about 33,747 (116)
Time-Adaptive Statistical Test for Random Number Generators
The problem of constructing effective statistical tests for random number generators (RNG) is considered. Currently, there are hundreds of RNG statistical tests that are often combined into so-called batteries, each containing from a dozen to more than ...
Boris Ryabko
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Thermodynamics of random number generation
We analyze the thermodynamic costs of the three main approaches to generating random numbers via the recently introduced Information Processing Second Law. Given access to a specified source of randomness, a random number generator (RNG) produces samples from a desired target probability distribution.
Aghamohammadi, C., Crutchfield, J. P.
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Boolean-chaos-based physical random number generator
A novel method for generating physical random numbers using Boolean-chaos as the entropy source was proposed.An autonomous Boolean network (ABN) without self-feedback was constructed by using two-input logic gates,and its dynamic characteristics were ...
Qiqi ZHANG +4 more
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True Random Number Generators Using Electrical Noise
True random number generators (TRNGs) are a fundamental resource in information security and can guarantee the absolute security of information in principle.
Lishuang Gong +4 more
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A recipe for an unpredictable random number generator
In this work we present a model for computing the random processes in digital computers which solves the problem of periodic sequences and hidden errors produced by correlations.
M.A.García-Ñustes +2 more
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Note on Marsaglia`s Xorshift Random Number Generators
Marsaglia (2003) has described a class of Xorshift random number generators (RNGs) with periods 2n - 1 for n = 32, 64, etc. We show that the sequences generated by these RNGs are identical to the sequences generated by certain linear feedback shift ...
Richard P. Brent
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On the Chromatic Number of Random Graphs
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Amin Coja-Oghlan +2 more
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Pseudo-random number generation with -encoders
The [Formula: see text]-encoder is an analog circuit that converts an input signal [Formula: see text] into a finite bit stream [Formula: see text]. The bits [Formula: see text] are correlated and therefore are not immediately suitable for random number ...
Charlene Kalle +2 more
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Note on Matrices of Random Numbers
The statistical and structural characteristics of 13 matrices of random numbers in which both the cells and the entries were randomly chosen are discussed. Each matrix was explored considering row means, standard deviations, and correlations as well as column means, standard deviations, and correlations. A study concerning the sequential arrangement of
Rimoldi, Horacio J. A. +3 more
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Generation of Random Numbers and Parallel Random Number Streams for Monte Carlo Simulations
Modern methods and libraries for high quality pseudorandom number generation and for generation of parallel random number streams for Monte Carlo simulations are considered.
L. Yu. Barash, L. N. Shchur
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