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  2. String-searching algorithm - Wikipedia

    en.wikipedia.org/wiki/String-searching_algorithm

    A string-searching algorithm, sometimes called string-matching algorithm, is an algorithm that searches a body of text for portions that match by pattern. A basic example of string searching is when the pattern and the searched text are arrays of elements of an alphabet ( finite set ) Σ.

  3. Generalized suffix array - Wikipedia

    en.wikipedia.org/wiki/Generalized_suffix_array

    Generalized suffix arrays can be used to solve the pattern matching problem: [5]. Given a pattern and a text , find all occurrences of in .; Using the generalized suffix array of , then first, the suffixes that have as a prefix need to be found.

  4. 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} .

  5. 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.

  6. 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.

  7. Rabin–Karp algorithm - Wikipedia

    en.wikipedia.org/wiki/Rabin–Karp_algorithm

    We assume all the substrings have a fixed length m. A naïve way to search for k patterns is to repeat a single-pattern search taking O(n+m) time, totaling in O((n+m)k) time. In contrast, the above algorithm can find all k patterns in O(n+km) expected time, assuming that a hash table check works in O(1) expected time.

  8. C string handling - Wikipedia

    en.wikipedia.org/wiki/C_string_handling

    Part of the C standard since C11, [14] in <uchar.h>, a type capable of holding 16 bits even if wchar_t is another size. If the macro __STDC_UTF_16__ is defined as 1, the type is used for UTF-16 on that system. This is always the case in C23. [15] C++ does not define such a macro, but the type is always used for UTF-16 in that language. [16 ...

  9. Frequent subtree mining - Wikipedia

    en.wikipedia.org/wiki/Frequent_subtree_mining

    Starting from the root of the tree, node labels are added to the string in depth-first search order. -1 is added to the string whenever the search process backtracks from a child to its parent. For example, a simple binary tree with root labelled A, a left child labelled B and right child labelled C can be represented by a string A B -1 C -1.