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  2. String metric - Wikipedia

    en.wikipedia.org/wiki/String_metric

    Only for strings of the same length. Number of changed characters. " ka rol in" and "ka thr in" is 3. Levenshtein distance and Damerau–Levenshtein distance: Generalization of Hamming distance that allows for different length strings, and (with Damerau) for transpositions kitten and sitting have a distance of 3. kitten → sitten (substitution ...

  3. Levenshtein distance - Wikipedia

    en.wikipedia.org/wiki/Levenshtein_distance

    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 corresponding symbols in the two strings are different.

  4. Damerau–Levenshtein distance - Wikipedia

    en.wikipedia.org/wiki/Damerau–Levenshtein_distance

    Presented here are two algorithms: the first, [8] simpler one, computes what is known as the optimal string alignment distance or restricted edit distance, [7] while the second one [9] computes the Damerau–Levenshtein distance with adjacent transpositions.

  5. Edit distance - Wikipedia

    en.wikipedia.org/wiki/Edit_distance

    More formally, for any language L and string x over an alphabet Σ, the language edit distance d(L, x) is given by [14] (,) = (,), where (,) is the string edit distance. When the language L is context free , there is a cubic time dynamic programming algorithm proposed by Aho and Peterson in 1972 which computes the language edit distance. [ 15 ]

  6. Jaro–Winkler distance - Wikipedia

    en.wikipedia.org/wiki/Jaro–Winkler_distance

    In computer science and statistics, the Jaro–Winkler similarity is a string metric measuring an edit distance between two sequences. It is a variant of the Jaro distance metric [1] (1989, Matthew A. Jaro) proposed in 1990 by William E. Winkler.

  7. Hash function - Wikipedia

    en.wikipedia.org/wiki/Hash_function

    Simplistic hash functions may add the first and last n characters of a string along with the length, or form a word-size hash from the middle 4 characters of a string. This saves iterating over the (potentially long) string, but hash functions that do not hash on all characters of a string can readily become linear due to redundancies ...

  8. Comparison of programming languages (string functions)

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

    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.length: Number of UTF-16 ...

  9. String (computer science) - Wikipedia

    en.wikipedia.org/wiki/String_(computer_science)

    The length of a string can also be stored explicitly, for example by prefixing the string with the length as a byte value. This convention is used in many Pascal dialects; as a consequence, some people call such a string a Pascal string or P-string. Storing the string length as byte limits the maximum string length to 255.