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  2. Huffman coding - Wikipedia

    en.wikipedia.org/wiki/Huffman_coding

    Huffman tree generated from the exact frequencies of the text "this is an example of a huffman tree". Encoding the sentence with this code requires 135 (or 147) bits, as opposed to 288 (or 180) bits if 36 characters of 8 (or 5) bits were used (This assumes that the code tree structure is known to the decoder and thus does not need to be counted as part of the transmitted information).

  3. Halfwidth and fullwidth forms - Wikipedia

    en.wikipedia.org/wiki/Halfwidth_and_fullwidth_forms

    In CJK (Chinese, Japanese, and Korean) computing, graphic characters are traditionally classed into fullwidth[a] and halfwidth[b] characters. Unlike monospaced fonts, a halfwidth character occupies half the width of a fullwidth character, hence the name. Halfwidth and Fullwidth Forms is also the name of a Unicode block U+FF00–FFEF, provided ...

  4. Non-breaking space - Wikipedia

    en.wikipedia.org/wiki/Non-breaking_space

    Non-breaking space. In word processing and digital typesetting, a non-breaking space ( ), also called NBSP, required space, [1] hard space, or fixed space (in most typefaces, it is not of fixed width), is a space character that prevents an automatic line break at its position. In some formats, including HTML, it also prevents consecutive ...

  5. Whitespace character - Wikipedia

    en.wikipedia.org/wiki/Whitespace_character

    Whitespace character. A whitespace character is a character data element that represents white space when text is rendered for display by a computer. For example, a space character (U+0020 SPACE, ASCII 32) represents blank space such as a word divider in a Western script. A printable character results in output when rendered, but a whitespace ...

  6. Halfwidth and Fullwidth Forms (Unicode block) - Wikipedia

    en.wikipedia.org/wiki/Halfwidth_and_Fullwidth...

    Halfwidth and Fullwidth Forms. Halfwidth and Fullwidth Forms is the name of a Unicode block U+FF00–FFEF, provided so that older encodings containing both halfwidth and fullwidth characters can have lossless translation to/from Unicode. It is the second-to-last block of the Basic Multilingual Plane, followed only by the short Specials block at ...

  7. Hamming distance - Wikipedia

    en.wikipedia.org/wiki/Hamming_distance

    For a fixed length n, the Hamming distance is a metric on the set of the words of length n (also known as a Hamming space), as it fulfills the conditions of non-negativity, symmetry, the Hamming distance of two words is 0 if and only if the two words are identical, and it satisfies the triangle inequality as well: [2] Indeed, if we fix three words a, b and c, then whenever there is a ...

  8. Lexicographic order - Wikipedia

    en.wikipedia.org/wiki/Lexicographic_order

    The lexicographical order is one way of formalizing word order given the order of the underlying symbols. The formal notion starts with a finite set A, often called the alphabet, which is totally ordered. That is, for any two symbols a and b in A that are not the same symbol, either a < b or b < a. The words of A are the finite sequences of ...

  9. Boyer–Moore string-search algorithm - Wikipedia

    en.wikipedia.org/wiki/Boyer–Moore_string-search...

    Θ (k+m) [note 2] In computer science, the Boyer–Moore string-search algorithm is an efficient string-searching algorithm that is the standard benchmark for practical string-search literature. [1] It was developed by Robert S. Boyer and J Strother Moore in 1977. [2] The original paper contained static tables for computing the pattern shifts ...