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  2. Two's complement - Wikipedia

    en.wikipedia.org/wiki/Two's_complement

    Two's complement is the most common method of representing signed (positive, negative, and zero) integers on computers, [1] and more generally, fixed point binary values. Two's complement uses the binary digit with the greatest value as the sign to indicate whether the binary number is positive or negative; when the most significant bit is 1 the number is signed as negative and when the most ...

  3. Hamming code - Wikipedia

    en.wikipedia.org/wiki/Hamming_code

    In mathematical terms, Hamming codes are a class of binary linear code. For each integer r ≥ 2 there is a code-word with block length n = 2r − 1 and message length k = 2r − r − 1. Hence the rate of Hamming codes is R = k / n = 1 − r / (2r − 1), which is the highest possible for codes with minimum distance of three (i.e., the minimal ...

  4. Binary logarithm - Wikipedia

    en.wikipedia.org/wiki/Binary_logarithm

    Exponent of a power of two. Graph of log2 xas a function of a positive real number x. In mathematics, the binary logarithm(log2 n) is the powerto which the number 2must be raisedto obtain the value n. That is, for any real number x, x=log2⁡n 2x=n.{\displaystyle x=\log _{2}n\quad \Longleftrightarrow \quad 2^{x}=n.}

  5. Hamming distance - Wikipedia

    en.wikipedia.org/wiki/Hamming_distance

    The symbols may be letters, bits, or decimal digits, among other possibilities. For example, the Hamming distance between: "ka rol in" and "ka thr in" is 3. "k a r ol in" and "k e r st in" is 3. "k athr in" and "k erst in" is 4. 0000 and 1111 is 4. 2 17 3 8 96 and 2 23 3 7 96 is 3.

  6. Cantor's theorem - Wikipedia

    en.wikipedia.org/wiki/Cantor's_theorem

    For instance, in our example the number 2 is paired with the subset {1, 2, 3}, which contains 2 as a member. Let us call such numbers selfish. Other natural numbers are paired with subsets that do not contain them. For instance, in our example the number 1 is paired with the subset {4, 5}, which does not contain the number 1. Call these numbers ...

  7. Machine epsilon - Wikipedia

    en.wikipedia.org/wiki/Machine_epsilon

    The following proof is limited to positive numbers and machine representations using round-by-chop. If x {\textstyle x} is a positive number we want to represent, it will be between a machine number x b {\textstyle x_{b}} below x {\textstyle x} and a machine number x u {\textstyle x_{u}} above x {\textstyle x} .

  8. Prime number theorem - Wikipedia

    en.wikipedia.org/wiki/Prime_number_theorem

    Graph of the number of primes ending in 1, 3, 7, and 9 up to n for n < 10,000. Another example is the distribution of the last digit of prime numbers. Except for 2 and 5, all prime numbers end in 1, 3, 7, or 9. Dirichlet's theorem states that asymptotically, 25% of all primes end in each of these four digits.

  9. Double dabble - Wikipedia

    en.wikipedia.org/wiki/Double_dabble

    Double dabble. In computer science, the double dabble algorithm is used to convert binary numbers into binary-coded decimal (BCD) notation. [ 1][ 2] It is also known as the shift-and-add -3 algorithm, and can be implemented using a small number of gates in computer hardware, but at the expense of high latency. [ 3]