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  2. Fictitious telephone number - Wikipedia

    en.wikipedia.org/wiki/Fictitious_telephone_number

    Learn about the history and usage of fictitious telephone numbers in movies, music and other media. Find out why 555-555-5555 is not a valid number in North America and what are some examples of famous phone numbers.

  3. 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.

  4. List of random number generators - Wikipedia

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

    Cipher algorithms and cryptographic hashes can be used as very high-quality pseudorandom number generators. However, generally they are considerably slower (typically by a factor 2–10) than fast, non-cryptographic random number generators.

  5. Hardware random number generator - Wikipedia

    en.wikipedia.org/wiki/Hardware_random_number...

    A hardware random number generator (HRNG) is a device that generates random numbers from a physical process capable of producing entropy. Learn about the history, uses, and types of HRNGs, and how they differ from pseudorandom number generators (PRNGs).

  6. Mersenne Twister - Wikipedia

    en.wikipedia.org/wiki/Mersenne_Twister

    Mersenne Twister is a pseudorandom number generator based on a Mersenne prime. It has a long period, good equidistribution and various variants for different platforms and applications.

  7. 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).

  8. Applications of randomness - Wikipedia

    en.wikipedia.org/wiki/Applications_of_randomness

    If one has a pseudo-random number generator whose output is "sufficiently difficult" to predict, one can generate true random numbers to use as the initial value (i.e., the seed), and then use the pseudo-random number generator to produce numbers for use in cryptographic applications.

  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.

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