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  2. Comparison of programming languages (string functions)

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

    For function that manipulate strings, modern object-oriented languages, like C# and Java have immutable strings and return a copy (in newly allocated dynamic memory), while others, like C manipulate the original string unless the programmer copies data to a new string.

  3. Rope (data structure) - Wikipedia

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

    Definition: Split (i, S): split the string S into two new strings S 1 and S 2, S 1 = C 1, ..., C i and S 2 = C i + 1, ..., C m. Time complexity: ⁠ (⁡) ⁠ There are two cases that must be dealt with: The split point is at the end of a string (i.e. after the last character of a leaf node) The split point is in the middle of a string.

  4. Edit distance - Wikipedia

    en.wikipedia.org/wiki/Edit_distance

    Ukkonen's 1985 algorithm takes a string p, called the pattern, and a constant k; it then builds a deterministic finite state automaton that finds, in an arbitrary string s, a substring whose edit distance to p is at most k [13] (cf. the Aho–Corasick algorithm, which similarly constructs an automaton to search for any of a number of patterns ...

  5. Levenshtein distance - Wikipedia

    en.wikipedia.org/wiki/Levenshtein_distance

    In information theory, linguistics, and computer science, the Levenshtein distance is a string metric for measuring the difference between two sequences. The Levenshtein distance between two words is the minimum number of single-character edits (insertions, deletions or substitutions) required to change one word into the other.

  6. Damerau–Levenshtein distance - Wikipedia

    en.wikipedia.org/wiki/Damerau–Levenshtein_distance

    The Damerau–Levenshtein distance LD(CA, ABC) = 2 because CA → AC → ABC, but the optimal string alignment distance OSA(CA, ABC) = 3 because if the operation CA → AC is used, it is not possible to use AC → ABC because that would require the substring to be edited more than once, which is not allowed in OSA, and therefore the shortest ...

  7. Longest common substring - Wikipedia

    en.wikipedia.org/wiki/Longest_common_substring

    The longest common substrings of a set of strings can be found by building a generalized suffix tree for the strings, and then finding the deepest internal nodes which have leaf nodes from all the strings in the subtree below it. The figure on the right is the suffix tree for the strings "ABAB", "BABA" and "ABBA", padded with unique string ...

  8. Template:Remove last word - Wikipedia

    en.wikipedia.org/wiki/Template:Remove_last_word

    This template removes the last word of the first parameter, i.e. the last non-space token after the last space. Use |1= for the first parameter if the string may contain an equals sign (=). By default, words are delimited by spaces, but the optional parameter |sep= can set the separator to any character.

  9. Substring - Wikipedia

    en.wikipedia.org/wiki/Substring

    A string is a substring (or factor) [1] of a string if there exists two strings and such that =.In particular, the empty string is a substring of every string. Example: The string = ana is equal to substrings (and subsequences) of = banana at two different offsets: