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  2. Module:Random/sandbox - Wikipedia

    en.wikipedia.org/wiki/Module:Random/sandbox

    -- With no arguments specified, it outputs a random date in the current year.-- With two arguments specified, it outputs a random date between the timestamps.-- With one argument specified, the date is a random date between the unix epoch (1 Jan 1970) and the timestamp.

  3. C Sharp 3.0 - Wikipedia

    en.wikipedia.org/wiki/C_Sharp_3.0

    The programming language C# version 3.0 was released on 19 November 2007 as part of .NET Framework 3.5.It includes new features inspired by functional programming languages such as Haskell and ML, and is driven largely by the introduction of the Language Integrated Query (LINQ) pattern to the Common Language Runtime. [1]

  4. C Sharp syntax - Wikipedia

    en.wikipedia.org/wiki/C_Sharp_syntax

    This is a feature of C# 7.1. ... floating point number ±1.401298E−45 through ±3.402823E+38 ... The main difference between the two is that an out parameter must ...

  5. Pseudorandom number generator - Wikipedia

    en.wikipedia.org/wiki/Pseudorandom_number_generator

    For example, squaring the number "1111" yields "1234321", which can be written as "01234321", an 8-digit number being the square of a 4-digit number. This gives "2343" as the "random" number. Repeating this procedure gives "4896" as the next result, and so on. Von Neumann used 10 digit numbers, but the process was the same.

  6. Serial number arithmetic - Wikipedia

    en.wikipedia.org/wiki/Serial_Number_Arithmetic

    If distance is 0, the numbers are equal. If it is < 0, then s 1 is "less than" or "before" s 2. Simple, clean and efficient, and fully defined. However, not without surprises. All sequence number arithmetic must deal with "wrapping" of sequence numbers; the number 2 N−1 is equidistant in both directions, in RFC 1982 sequence number terms. In ...

  7. Middle-square method - Wikipedia

    en.wikipedia.org/wiki/Middle-square_method

    [1] In the 1949 talk, Von Neumann quipped that "Anyone who considers arithmetical methods of producing random digits is, of course, in a state of sin." What he meant, he elaborated, was that there were no true "random numbers", just means to produce them, and "a strict arithmetic procedure", like the middle-square method, "is not such a method".

  8. Mersenne Twister - Wikipedia

    en.wikipedia.org/wiki/Mersenne_Twister

    The Mersenne Twister is a general-purpose pseudorandom number generator (PRNG) developed in 1997 by Makoto Matsumoto (松本 眞) and Takuji Nishimura (西村 拓士). [1] [2] Its name derives from the choice of a Mersenne prime as its period length. The Mersenne Twister was designed specifically to rectify most of the flaws found in older PRNGs.

  9. C date and time functions - Wikipedia

    en.wikipedia.org/wiki/C_date_and_time_functions

    computes the difference in seconds between two time_t values time: returns the current time of the system as a time_t value, number of seconds, (which is usually time since an epoch, typically the Unix epoch). The value of the epoch is operating system dependent; 1900 and 1970 are often used. See RFC 868. clock