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  2. Comparison of programming languages (string functions)

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

    StringLength[string] Mathematica «FUNCTION» LENGTH(string) or «FUNCTION» BYTE-LENGTH(string) number of characters and number of bytes, respectively COBOL: string length string: a decimal string giving the number of characters Tcl: ≢ string: APL: string.len() Number of bytes Rust [30] string.chars().count() Number of Unicode code points ...

  3. 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 ...

  4. String (computer science) - Wikipedia

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

    (Hyper)cube of binary strings of length 3. Strings admit the following interpretation as nodes on a graph, where k is the number of symbols in Σ: Fixed-length strings of length n can be viewed as the integer locations in an n-dimensional hypercube with sides of length k-1. Variable-length strings (of finite length) can be viewed as nodes on a ...

  5. Damerau–Levenshtein distance - Wikipedia

    en.wikipedia.org/wiki/Damerau–Levenshtein_distance

    To express the Damerau–Levenshtein distance between two strings and , a function , (,) is defined, whose value is a distance between an -symbol prefix (initial substring) of string and a -symbol prefix of .

  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. Edit distance - Wikipedia

    en.wikipedia.org/wiki/Edit_distance

    LCS distance is bounded above by the sum of lengths of a pair of strings. [1]: 37 LCS distance is an upper bound on Levenshtein distance. For strings of the same length, Hamming distance is an upper bound on Levenshtein distance. [1] Regardless of cost/weights, the following property holds of all edit distances:

  8. Longest common substring - Wikipedia

    en.wikipedia.org/wiki/Longest_common_substring

    The array L stores the length of the longest common suffix of the prefixes S[1..i] and T[1..j] which end at position i and j, respectively. The variable z is used to hold the length of the longest common substring found so far. The set ret is used to hold the set of strings which are of length z.

  9. Module:String/doc - Wikipedia

    en.wikipedia.org/wiki/Module:String/doc

    {{#invoke:String|sublength|s= target_string |i= start_index |len= length}} Parameters: s The string i The starting index of the substring to return. The first character of the string is assigned an index of 0. len The length of the string to return, defaults to the last character. Examples: {{#invoke:String|sublength|s= abcdefghi }} → abcdefghi