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  2. List of random number generators - Wikipedia

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

    A comprehensive list of various types of pseudorandom number generators (PRNGs) and their properties, applications and references. Compare different algorithms, such as Mersenne Twister, Xorshift, Blum Blum Shub and more.

  3. Mersenne Twister - Wikipedia

    en.wikipedia.org/wiki/Mersenne_Twister

    Mersenne Twister is a general-purpose PRNG based on a Mersenne prime. It has a 32-bit version, MT19937, and a 64-bit version, MT19937-64, with different sequences.

  4. Random number generation - Wikipedia

    en.wikipedia.org/wiki/Random_number_generation

    RNG stands for random number generator, a device or algorithm that produces a sequence of numbers or symbols that cannot be reasonably predicted. Learn about the methods, applications and types of RNG, such as true and pseudorandom numbers.

  5. Randomization - Wikipedia

    en.wikipedia.org/wiki/Randomization

    Randomization is a statistical process of selecting samples or assigning groups randomly to minimize bias and enhance validity. Learn how randomization is used in gambling, politics, statistical analysis and other fields, with examples and references.

  6. Pseudorandom number generator - Wikipedia

    en.wikipedia.org/wiki/Pseudorandom_number_generator

    A pseudorandom number generator (PRNG) is an algorithm that produces a sequence of numbers that resemble random numbers, but are completely determined by an initial value. Learn about the properties, applications, and potential issues of PRNGs, as well as the difference between PRNGs and cryptographically secure PRNGs (CSPRNGs).

  7. Blum Blum Shub - Wikipedia

    en.wikipedia.org/wiki/Blum_Blum_Shub

    Blum Blum Shub is a pseudorandom number generator based on a one-way function and two large primes. Learn about its security, performance, example and Python and Common Lisp implementations.

  8. ACORN (random number generator) - Wikipedia

    en.wikipedia.org/.../ACORN_(random_number_generator)

    In addition, recent research has shown that the ACORN generators pass all the tests in the TestU01 test suite, current version 1.2.3, with an appropriate choice of parameters and with a few very straightforward constraints on the choice of initialisation; it is worth noting, as pointed out by the authors of TestU01, that some widely-used pseudo ...

  9. Random.org - Wikipedia

    en.wikipedia.org/wiki/Random.org

    Random.org generates random numbers based on atmospheric noise and offers free and paid services to simulate events such as flipping coins, shuffling cards, and rolling dice. It also provides tools to create lists of random numbers in a specified range and subject to a specified probability distribution.