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  2. Maximin share - Wikipedia

    en.wikipedia.org/wiki/Maximin_share

    Also, OMMS 2 =40, since the fractions satisfying / are 1/2, 2/4, 3/5, 4/7, etc., and in all cases, in any partition of C into subsets, the least-valuable subsets do not contain the 60. Therefore, an OMMS-fair allocation might give the 40 to 2 and the 60 to 1, or give nothing to 1, both of which seem unfair.

  3. Fraction - Wikipedia

    en.wikipedia.org/wiki/Fraction

    To change ⁠ 1 / 3 ⁠ to a decimal, divide 1.000... by 3 (" 3 into 1.000... "), and stop when the desired accuracy is obtained, e.g., at 4 decimals with 0.3333. The fraction1 / 4 ⁠ can be written exactly with two decimal digits, while the fraction1 / 3 ⁠ cannot be written exactly as a decimal with a finite number of digits.

  4. Number Forms - Wikipedia

    en.wikipedia.org/wiki/Number_Forms

    1 ⁄ 7: 0.142... Vulgar Fraction One Seventh 2150 8528 ⅑ 1 ⁄ 9: 0.111... Vulgar Fraction One Ninth 2151 8529 ⅒ 1 ⁄ 10: 0.1 Vulgar Fraction One Tenth 2152 8530 ⅓ 13: 0.333... Vulgar Fraction One Third 2153 8531 ⅔ 2 ⁄ 3: 0.666... Vulgar Fraction Two Thirds 2154 8532 ⅕ 15: 0.2 Vulgar Fraction One Fifth 2155 8533 ⅖ 2 ...

  5. Chaos game - Wikipedia

    en.wikipedia.org/wiki/Chaos_game

    In mathematics, the term chaos game originally referred to a method of creating a fractal, using a polygon and an initial point selected at random inside it. [1] [2] The fractal is created by iteratively creating a sequence of points, starting with the initial random point, in which each point in the sequence is a given fraction of the distance ...

  6. 1 + 2 + 3 + 4 + ⋯ - ⋯ - Wikipedia

    en.wikipedia.org/wiki/1_%2B_2_%2B_3_%2B_4_%2B_%E...

    The partial sums of the series 1 + 2 + 3 + 4 + 5 + 6 + ⋯ are 1, 3, 6, 10, 15, etc.The nth partial sum is given by a simple formula: = = (+). This equation was known ...

  7. Algorithmically random sequence - Wikipedia

    en.wikipedia.org/wiki/Algorithmically_random...

    Intuitively, an algorithmically random sequence (or random sequence) is a sequence of binary digits that appears random to any algorithm running on a (prefix-free or not) universal Turing machine. The notion can be applied analogously to sequences on any finite alphabet (e.g. decimal digits).

  8. BPP (complexity) - Wikipedia

    en.wikipedia.org/wiki/BPP_(complexity)

    Informally, a problem is in BPP if there is an algorithm for it that has the following properties: It is allowed to flip coins and make random decisions; It is guaranteed to run in polynomial time; On any given run of the algorithm, it has a probability of at most 1/3 of giving the wrong answer, whether the answer is YES or NO.

  9. Real number - Wikipedia

    en.wikipedia.org/wiki/Real_number

    The set of rational numbers is not complete. For example, the sequence (1; 1.4; 1.41; 1.414; 1.4142; 1.41421; ...), where each term adds a digit of the decimal expansion of the positive square root of 2, is Cauchy but it does not converge to a rational number (in the real numbers, in contrast, it converges to the positive square root of 2).