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  2. 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 ]

  3. Wikipedia:Random - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Random

    Wikipedia:Random page patrol; Wikipedia:Random pages test; Wikipedia:Wiki-Link Game – fun with the Random article feature; Wikipedia:Enhanced Random Article – custom script; randomlink.js – tool to follow a random link or go to a random page in a category, list or WikiProject; Special:RandomInCategory; Template:Random page in category

  4. Telephone numbers in Argentina - Wikipedia

    en.wikipedia.org/wiki/Telephone_numbers_in_Argentina

    In Argentina, area codes are two, three, or four digits long (after the initial zero).Local customer numbers are six to eight digits long. The total number of digits is ten, for example, phone number (11) 1234-5678 for Buenos Aires is made up of a 2-digit area code number and an 8-digit subscriber's number, while (383) 123-4567 would be an example of a Catamarca number.

  5. 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.

  6. Random seed - Wikipedia

    en.wikipedia.org/wiki/Random_seed

    A random seed (or seed state, or just seed) is a number (or vector) used to initialize a pseudorandom number generator.. A pseudorandom number generator's number sequence is completely determined by the seed: thus, if a pseudorandom number generator is later reinitialized with the same seed, it will produce the same sequence of numbers.

  7. Permuted congruential generator - Wikipedia

    en.wikipedia.org/.../Permuted_Congruential_Generator

    A permuted congruential generator (PCG) is a pseudorandom number generation algorithm developed in 2014 by Dr. M.E. O'Neill which applies an output permutation function to improve the statistical properties of a modulo-2 n linear congruential generator.

  8. Counter-based random number generator - Wikipedia

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

    A counter-based random number generation (CBRNG, also known as a counter-based pseudo-random number generator, or CBPRNG) is a kind of pseudorandom number generator that uses only an integer counter as its internal state. They are generally used for generating pseudorandom numbers for large parallel computations.

  9. Random number - Wikipedia

    en.wikipedia.org/wiki/Random_number

    A random number is generated by a random process such as throwing Dice. Individual numbers can't be predicted, but the likely result of generating a large quantity of numbers can be predicted by specific mathematical series and statistics .