PRNG


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PRNG

(Pseudo-Random Number Generator) See pseudo-random numbers.
References in periodicals archive ?
This means that, to avoid to falsely choose a dangerous parameter n in a practical use of the above PRNG, a naive countermeasure of using sufficiently large parameters does very probably not solve the problem essentially.
In the previous sections, we have given in Proposition 1 a sufficient condition for a parameter n for the PRNG to be dangerous in terms of the dyadic expansion of [square root of 2].
To imitate random or chaotic behaviors of nature by using deterministic algorithms performed on computers is a ubiquitous and very fundamental task in several areas of science and information technology, such as computer simulation, statistics and cryptography; hence construction and analyses of PRNGs are one of the most active topics in information theory.
In Section 3, we describe a relation between the above problem and analyses of PRNGs of the above types.
R] Secret key shared between the reader and the server [cross product] Exclusive OR operation r A random number generated through the use of a PRNG within the reader g A random number generated through the use of a PRNG within the server for updating [K.
It uses the standard Java PRNG, but the API should allow other (more advanced) PRNGs to be plugged in as well.
It provides an API for discrete-event simulation, uses high-quality PRNGs, allows for spatial modelling, and includes real-time visualisation tools.
It offers similar features as Swarm (discrete-event simulation, high-quality PRNGs, spatial modelling, visualisation tools) and it is also open-source and extensible.
Hand-shuffling, die casting without banking board or with pipped dice; Die casting with banking board and non-pipped dice, PRNG or RNG without any check of its randomicity; mechanical shuffler with no check of its randomicity; Actual target order checked for randomicity, use of random number table (RNT); empirical cross-check (not "control" shuffle); PRNG or RNG or mechanical shuffler with check for the randomicity of its running either before and/or after the experiment or on target sequence itself.