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  2. Levenshtein distance - Wikipedia

    en.wikipedia.org/wiki/Levenshtein_distance

    It is at least the absolute value of the difference of the sizes of the two strings. It is at most the length of the longer string. It is zero if and only if the strings are equal. If the strings have the same size, the Hamming distance is an upper bound on the Levenshtein distance. The Hamming distance is the number of positions at which the ...

  3. Trie - Wikipedia

    en.wikipedia.org/wiki/Trie

    The trie occupies less space in comparison with a BST in the case of a large number of short strings, since nodes share common initial string subsequences and store the keys implicitly. [ 12 ] : 358 The terminal node of the tree contains a non-null value, and it is a search hit if the associated value is found in the trie, and search miss if it ...

  4. C Sharp syntax - Wikipedia

    en.wikipedia.org/wiki/C_Sharp_syntax

    This is a feature of C# 7.1. Asynchronous Tasks can be awaited in the Main method by declaring it to return type Task. staticasyncTaskMain(string[]args){awaitDoWorkAsync(42);} All the combinations of Task, or Task<int>, and with, or without, the string [] args parameter are supported.

  5. Suffix tree - Wikipedia

    en.wikipedia.org/wiki/Suffix_tree

    The total length of all the strings on all of the edges in the tree is (), but each edge can be stored as the position and length of a substring of S, giving a total space usage of () computer words. The worst-case space usage of a suffix tree is seen with a fibonacci word , giving the full 2 n {\displaystyle 2n} nodes.

  6. Jaro–Winkler distance - Wikipedia

    en.wikipedia.org/wiki/Jaro–Winkler_distance

    The Jaro–Winkler distance uses a prefix scale which gives more favourable ratings to strings that match from the beginning for a set prefix length . The higher the Jaro–Winkler distance for two strings is, the less similar the strings are. The score is normalized such that 0 means an exact match and 1 means there is no similarity.

  7. Approximate string matching - Wikipedia

    en.wikipedia.org/wiki/Approximate_string_matching

    Appearance. A fuzzy Mediawiki search for "angry emoticon" has as a suggested result "andré emotions". In computer science, approximate string matching (often colloquially referred to as fuzzy string searching) is the technique of finding strings that match a pattern approximately (rather than exactly). The problem of approximate string ...

  8. Rope (data structure) - Wikipedia

    en.wikipedia.org/wiki/Rope_(data_structure)

    Rope (data structure) A simple rope built on the string of "Hello_my_name_is_Simon". In computer programming, a rope, or cord, is a data structure composed of smaller strings that is used to efficiently store and manipulate longer strings or entire texts. For example, a text editing program may use a rope to represent the text being edited, so ...

  9. Comparison of programming languages (string functions ...

    en.wikipedia.org/wiki/Comparison_of_programming...

    Number of bytes C, PHP: string.length() C++ (STL) string.length: Cobra, D, JavaScript: string.length() Number of UTF-16 code units: Java (string-length string) Scheme (length string) Common Lisp, ISLISP (count string) Clojure: String.length string: OCaml: size string: Standard ML: length string: Number of Unicode code points Haskell: string ...