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In computer science, a substring index is a data structure which gives substring search in a text or text collection in sublinear time. Once constructed from a document or set of documents, a substring index can be used to locate all occurrences of a pattern in time linear or near-linear in the pattern size, with no dependence or only logarithmic dependence on the document size.
List.findIndex (List.isPrefixOf substring) (List.tails string) Haskell (returns only index) returns Nothing Str.search_forward (Str.regexp_string substring) string 0: OCaml: raises Not_found Substring.size (#1 (Substring.position substring (Substring.full string))) Standard ML: returns string length [string rangeOfString:substring].location
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.
In the array containing the E(x, y) values, we then choose the minimal value in the last row, let it be E(x 2, y 2), and follow the path of computation backwards, back to the row number 0. If the field we arrived at was E(0, y 1), then T[y 1 + 1] ... T[y 2] is a substring of T with the minimal edit distance to the pattern P.
The simplest operation is taking a substring, a snippet of the string taken at a certain offset (called an "index") from the start or end. There are a number of legacy templates offering this but for new code use {{#invoke:String|sub|string|startIndex|endIndex}}. The indices are one-based (meaning the first is number one), inclusive (meaning ...
Suppose for a given alignment of P and T, a substring t of T matches a suffix of P and suppose t is the largest such substring for the given alignment. Then find, if it exists, the right-most copy t ′ of t in P such that t ′ is not a suffix of P and the character to the left of t ′ in P differs from the character to the left of t in P.
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.
In computer science, a compressed suffix array [1] [2] [3] is a compressed data structure for pattern matching. Compressed suffix arrays are a general class of data structure that improve on the suffix array. [1] [2] These data structures enable quick search for an arbitrary string with a comparatively small index.