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  2. Canonical Huffman code - Wikipedia

    en.wikipedia.org/wiki/Canonical_Huffman_code

    Here the letter A has been assigned 2 bits, B has 1 bit, and C and D both have 3 bits. To make the code a canonical Huffman code, the codes are renumbered. The bit lengths stay the same with the code book being sorted first by codeword length and secondly by alphabetical value of the letter: B = 0 A = 11 C = 101 D = 100

  3. Arbitrary-precision arithmetic - Wikipedia

    en.wikipedia.org/wiki/Arbitrary-precision_arithmetic

    But if exact values for large factorials are desired, then special software is required, as in the pseudocode that follows, which implements the classic algorithm to calculate 1, 1×2, 1×2×3, 1×2×3×4, etc. the successive factorial numbers. constants: Limit = 1000 % Sufficient digits.

  4. Hacker's Delight - Wikipedia

    en.wikipedia.org/wiki/Hacker's_Delight

    Algorithms are given as formulas for any number of bits, the examples usually for 32 bits. Apart from the introduction, chapters are independent of each other, each focusing on a particular subject. Many algorithms in the book depend on two's complement integer numbers. The subject matter of the second edition of the book [1] includes ...

  5. Bit-length - Wikipedia

    en.wikipedia.org/wiki/Bit-length

    For example, computer processors are often designed to process data grouped into words of a given length of bits (8 bit, 16 bit, 32 bit, 64 bit, etc.). The bit length of each word defines, for one thing, how many memory locations can be independently addressed by the processor. In cryptography, the key size of an algorithm is the bit length of ...

  6. Bitwise operation - Wikipedia

    en.wikipedia.org/wiki/Bitwise_operation

    Thus, if both bits in the compared position are 1, the bit in the resulting binary representation is 1 (1 × 1 = 1); otherwise, the result is 0 (1 × 0 = 0 and 0 × 0 = 0). For example: 0101 (decimal 5) AND 0011 (decimal 3) = 0001 (decimal 1) The operation may be used to determine whether a particular bit is set (1) or cleared (0). For example ...

  7. Hamming code - Wikipedia

    en.wikipedia.org/wiki/Hamming_code

    Hence the rate of Hamming codes is R = k / n = 1 − r / (2 r − 1), which is the highest possible for codes with minimum distance of three (i.e., the minimal number of bit changes needed to go from any code word to any other code word is three) and block length 2 r − 1.

  8. Bit manipulation - Wikipedia

    en.wikipedia.org/wiki/Bit_manipulation

    A bitwise operation operates on one or more bit patterns or binary numerals at the level of their individual bits.It is a fast, primitive action directly supported by the central processing unit (CPU), and is used to manipulate values for comparisons and calculations.

  9. Serial number arithmetic - Wikipedia

    en.wikipedia.org/wiki/Serial_Number_Arithmetic

    The RFC 1982 algorithm specifies that, for N-bit sequence numbers, there are 2 N−11 values considered "greater than" and 2 N−11 considered "less than". Comparison against the remaining value (exactly 2 N−1-distant) is deemed to be "undefined". Most modern hardware implements signed two's complement binary arithmetic operations.