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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. Erase–remove idiom - Wikipedia

    en.wikipedia.org/wiki/Erase–remove_idiom

    The erase–remove idiom cannot be used for containers that return const_iterator (e.g.: set) [6] std::remove and/or std::remove_if do not maintain elements that are removed (unlike std::partition, std::stable_partition). Thus, erase–remove can only be used with containers holding elements with full value semantics without incurring resource ...

  4. Digraphs and trigraphs (programming) - Wikipedia

    en.wikipedia.org/wiki/Digraphs_and_trigraphs...

    This was opposed by IBM, speaking on behalf of itself and other users of C++, [14] and as a result trigraphs were retained in C++11. Trigraphs were then proposed again for removal (not only deprecation) in C++17. [15] This passed a committee vote, and trigraphs (but not the additional tokens) are removed from C++17 despite the opposition from ...

  5. 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.

  6. C string handling - Wikipedia

    en.wikipedia.org/wiki/C_string_handling

    The length of a string is the number of code units before the zero code unit. [1] The memory occupied by a string is always one more code unit than the length, as space is needed to store the zero terminator. Generally, the term string means a string where the code unit is of type char, which is exactly 8 bits on all modern machines.

  7. Knuth–Morris–Pratt algorithm - Wikipedia

    en.wikipedia.org/wiki/Knuth–Morris–Pratt...

    In computer science, the Knuth–Morris–Pratt algorithm (or KMP algorithm) is a string-searching algorithm that searches for occurrences of a "word" W within a main "text string" S by employing the observation that when a mismatch occurs, the word itself embodies sufficient information to determine where the next match could begin, thus bypassing re-examination of previously matched characters.

  8. Regular expression - Wikipedia

    en.wikipedia.org/wiki/Regular_expression

    Matches the ending position of the string or the position just before a string-ending newline. In line-based tools, it matches the ending position of any line. Defines a marked subexpression, also called a capturing group, which is essential for extracting the desired part of the text (See also the next entry, \ n ).

  9. Boyer–Moore string-search algorithm - Wikipedia

    en.wikipedia.org/wiki/Boyer–Moore_string-search...

    The Boyer–Moore algorithm searches for occurrences of P in T by performing explicit character comparisons at different alignments. Instead of a brute-force search of all alignments (of which there are ⁠ n − m + 1 {\displaystyle n-m+1} ⁠ ), Boyer–Moore uses information gained by preprocessing P to skip as many alignments as possible.