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It is possible to check multiple words against the source wordlist. AND-words to check |andwords=: can have a wordlist (comma-separated as |source= is). Each word will be checked against the source. When all and-words are found, the return value is True. {{Str find word |source=alpha, beta, gamma, foo, bar |andwords=alpha, foo}} (True) → ...
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.
/C:string Uses specified string as a literal search string. /G:file Gets search strings from the specified file(/ stands for console). /D:dir Search a semicolon delimited list of directories
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.
Frame a word list Y with all permutations of J; For each word in Y check if the word is existing in the dictionary; If a match is found then collect it in word list W; Print the words in W; End; Algorithm to find the permutations of J: Begin; Initialize a string with first character of J denoted by J(1)
Traditionally, approximate string matching algorithms are classified into two categories: online and offline. With online algorithms the pattern can be processed before searching but the text cannot. In other words, online techniques do searching without an index.
A string (or word [23] or expression [24]) over Σ is any finite sequence of symbols from Σ. [25] For example, if Σ = {0, 1}, then 01011 is a string over Σ. The length of a string s is the number of symbols in s (the length of the sequence) and can be any non-negative integer ; it is often denoted as | s |.
Techniques such as alphabet reduction may alleviate the high space complexity by reinterpreting the original string as a long string over a smaller alphabet i.e. a string of n bytes can alternatively be regarded as a string of 2n four-bit units and stored in a trie with sixteen pointers per node. However, lookups need to visit twice as many ...