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  2. Canonical Huffman code - Wikipedia

    en.wikipedia.org/wiki/Canonical_Huffman_code

    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 Each of the existing codes are replaced with a new one of the same length, using the following algorithm:

  3. Bit-length - Wikipedia

    en.wikipedia.org/wiki/Bit-length

    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 the keys used by that algorithm, and it is an important factor of an algorithm's strength.

  4. Serial number arithmetic - Wikipedia

    en.wikipedia.org/wiki/Serial_Number_Arithmetic

    The algorithms presented by the RFC have at least one significant shortcoming: there are sequence numbers for which comparison is undefined. Since many algorithms are implemented independently by multiple independent cooperating parties, it is often impossible to prevent all such situations from occurring.

  5. Arbitrary-precision arithmetic - Wikipedia

    en.wikipedia.org/wiki/Arbitrary-precision_arithmetic

    Rather than storing values as a fixed number of bits related to the size of the processor register, these implementations typically use variable-length arrays of digits. Arbitrary precision is used in applications where the speed of arithmetic is not a limiting factor, or where precise results with very large numbers are required.

  6. The magazine said that the book was not easy to read, but that it would expose experienced programmers to both old and new topics. [8] A review of SICP as an undergraduate textbook by Philip Wadler noted the weaknesses of the Scheme language as an introductory language for a computer science course. [9]

  7. Bit manipulation - Wikipedia

    en.wikipedia.org/wiki/Bit_manipulation

    Source code that does bit manipulation makes use of the bitwise operations: AND, OR, XOR, NOT, and possibly other operations analogous to the boolean operators; there are also bit shifts and operations to count ones and zeros, find high and low one or zero, set, reset and test bits, extract and insert fields, mask and zero fields, gather and ...

  8. Computational complexity of mathematical operations - Wikipedia

    en.wikipedia.org/wiki/Computational_complexity...

    Graphs of functions commonly used in the analysis of algorithms, showing the number of operations versus input size for each function. The following tables list the computational complexity of various algorithms for common mathematical operations.

  9. Hacker's Delight - Wikipedia

    en.wikipedia.org/wiki/Hacker's_Delight

    Hacker's Delight is a software algorithm book by Henry S. Warren, Jr. first published in 2002. It presents fast bit-level and low-level arithmetic algorithms for common tasks such as counting bits or improving speed of division by using multiplication.