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  2. LCP array - Wikipedia

    en.wikipedia.org/wiki/LCP_array

    In order to find the number of occurrences of a given string (length ) in a text (length ), [3] We use binary search against the suffix array of T {\displaystyle T} to find the starting and end position of all occurrences of P {\displaystyle P} .

  3. Longest common substring - Wikipedia

    en.wikipedia.org/wiki/Longest_common_substring

    One can find the lengths and starting positions of the longest common substrings of and in (+) time with the help of a generalized suffix tree.A faster algorithm can be achieved in the word RAM model of computation if the size of the input alphabet is in (⁡ (+)).

  4. String-searching algorithm - Wikipedia

    en.wikipedia.org/wiki/String-searching_algorithm

    A simple and inefficient way to see where one string occurs inside another is to check at each index, one by one. First, we see if there is a copy of the needle starting at the first character of the haystack; if not, we look to see if there's a copy of the needle starting at the second character of the haystack, and so forth.

  5. Pattern matching - Wikipedia

    en.wikipedia.org/wiki/Pattern_matching

    Symbolic entities can be introduced to represent many different classes of relevant features of a string. For instance, StringExpression[LetterCharacter, DigitCharacter] will match a string that consists of a letter first, and then a number. In Haskell, guards could be used to achieve the same matches:

  6. Soundex - Wikipedia

    en.wikipedia.org/wiki/Soundex

    Map all occurrences of a, e, i, o, u, y, h, w. to zero(0) Replace all consonants (include the first letter) with digits as in [2.] above. Replace all adjacent same digits with one digit, and then remove all the zero (0) digits; If the saved letter's digit is the same as the resulting first digit, remove the digit (keep the letter).

  7. Regular expression - Wikipedia

    en.wikipedia.org/wiki/Regular_expression

    A match is made, not when all the atoms of the string are matched, but rather when all the pattern atoms in the regex have matched. The idea is to make a small pattern of characters stand for a large number of possible strings, rather than compiling a large list of all the literal possibilities.

  8. Java collections framework - Wikipedia

    en.wikipedia.org/wiki/Java_collections_framework

    All Collections have an java.util.Iterator that goes through all of the elements in the Collection. Collection is generic. Any Collection can store any Object. For example, any implementation of Collection<String> contains String objects. No casting is required when using the String objects from an implementation of Collection<String>. [12]

  9. String interpolation - Wikipedia

    en.wikipedia.org/wiki/String_interpolation

    Find variable reference (placeholder), replace it by its variable value. This algorithm offers no cache strategy. Split and join string: splitting the string into an array, merging it with the corresponding array of values, then joining items by concatenation. The split string can be cached for reuse.