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  2. List of random number generators - Wikipedia

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

    Widely used in many programs, e.g. it is used in Excel 2003 and later versions for the Excel function RAND [8] and it was the default generator in the language Python up to version 2.2. [9] Rule 30: 1983 S. Wolfram [10] Based on cellular automata. Inversive congruential generator (ICG) 1986 J. Eichenauer and J. Lehn [11] Blum Blum Shub: 1986

  3. Diehard tests - Wikipedia

    en.wikipedia.org/wiki/Diehard_tests

    The diehard tests are a battery of statistical tests for measuring the quality of a random number generator (RNG). They were developed by George Marsaglia over several years and first published in 1995 on a CD-ROM of random numbers. [1] In 2006, the original diehard tests were extended into the dieharder tests. [2]

  4. Mersenne Twister - Wikipedia

    en.wikipedia.org/wiki/Mersenne_Twister

    'Generate numbers' is run when all integers have been output. For a w -bit word length, the Mersenne Twister generates integers in the range [ 0 , 2 w − 1 ] {\displaystyle [0,2^{w}-1]} . The Mersenne Twister algorithm is based on a matrix linear recurrence over a finite binary field F 2 {\displaystyle {\textbf {F}}_{2}} .

  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 that cannot be reasonably predicted better than by random chance is generated.

  6. Xorshift - Wikipedia

    en.wikipedia.org/wiki/Xorshift

    A C version [a] of three xorshift algorithms [1]: 4,5 is given here. The first has one 32-bit word of state, and period 2 32 −1. The second has one 64-bit word of state and period 2 64 −1.

  7. Random number - Wikipedia

    en.wikipedia.org/wiki/Random_number

    Random numbers are frequently used in algorithms such as Knuth's 1964-developed algorithm [1] for shuffling lists. (popularly known as the Knuth shuffle or the Fisher–Yates shuffle, based on work they did in 1938). In 1999, a new feature was added to the Pentium III: a hardware-based random number generator.

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    mail.aol.com

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  9. Halton sequence - Wikipedia

    en.wikipedia.org/wiki/Halton_sequence

    As an example, to find the sixth element of the above sequence, we'd write 6 = 1*2 2 + 1*2 1 + 0*2 0 = 110 2, which can be inverted and placed after the decimal point to give 0.011 2 = 0*2-1 + 1*2-2 + 1*2-3 = 3 ⁄ 8. So the sequence above is the same as