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  2. List of random number generators - Wikipedia

    en.wikipedia.org/wiki/List_of_random_number...

    [32] A modification of LCG. Random Cycle Bit Generator (RCB) 2016 R. Cookman [33] RCB is described as a bit pattern generator made to overcome some of the shortcomings with Mersenne Twister and short periods/bit length restriction of shift/modulo generators. Middle-Square Weyl Sequence RNG (see also middle-square method) 2017 B. Widynski [34] [35]

  3. Mersenne Twister - Wikipedia

    en.wikipedia.org/wiki/Mersenne_Twister

    Visualisation of generation of pseudo-random 32-bit integers using a Mersenne Twister. The 'Extract number' section shows an example where integer 0 has already been output and the index is at integer 1. 'Generate numbers' is run when all integers have been output.

  4. Random number - Wikipedia

    en.wikipedia.org/wiki/Random_number

    In 1999, Intel added a hardware-based random number generator to the Pentium III, which combined oscillator outputs to generate random numbers. However, these numbers were 32-bit, considered less advanced at the time due to export controls on higher bit lengths (56 bits and above).

  5. Random number generation - Wikipedia

    en.wikipedia.org/wiki/Random_number_generation

    Dice are an example of a mechanical hardware random number generator. When a cubical die is rolled, a random number from 1 to 6 is obtained. Random number generation is a process by which, often by means of a random number generator (RNG), a sequence of numbers or symbols is generated that cannot be reasonably predicted better than by random chance.

  6. Linear congruential generator - Wikipedia

    en.wikipedia.org/wiki/Linear_congruential_generator

    For a specific example, an ideal random number generator with 32 bits of output is expected (by the Birthday theorem) to begin duplicating earlier outputs after √ m ≈ 2 16 results. Any PRNG whose output is its full, untruncated state will not produce duplicates until its full period elapses, an easily detectable statistical flaw. [36]

  7. KISS (algorithm) - Wikipedia

    en.wikipedia.org/wiki/KISS_(algorithm)

    KISS generators produce 32-bit or 64-bit random integers, from which random floating-point numbers can be constructed if desired. The original 1993 generator is based on the combination of a linear congruential generator and of two linear feedback shift-register generators.

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    mail.aol.com

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  9. Counter-based random number generator - Wikipedia

    en.wikipedia.org/wiki/Counter-based_random...

    In addition to Threefry and ARS, Salmon et al. described a third counter-based PRNG, Philox, [1] based on wide multiplies; e.g. multiplying two 32-bit numbers and producing a 64-bit number, or multiplying two 64-bit numbers and producing a 128-bit number. As of 2020, Philox is popular on CPUs and GPUs.