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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.
The longest common substrings of a set of strings can be found by building a generalized suffix tree for the strings, and then finding the deepest internal nodes which have leaf nodes from all the strings in the subtree below it. The figure on the right is the suffix tree for the strings "ABAB", "BABA" and "ABBA", padded with unique string ...
Some categories of algorithms include: String searching algorithms for finding a given substring or pattern; String manipulation algorithms; Sorting algorithms; Regular expression algorithms; Parsing a string; Sequence mining; Advanced string algorithms often employ complex mechanisms and data structures, among them suffix trees and finite ...
Perhaps the most famous improvement is the bitap algorithm (also known as the shift-or and shift-and algorithm), which is very efficient for relatively short pattern strings. The bitap algorithm is the heart of the Unix searching utility agrep. A review of online searching algorithms was done by G. Navarro. [4]
A high-level view of the encoding algorithm is shown here: Initialize the dictionary to contain all strings of length one. Find the longest string W in the dictionary that matches the current input. Emit the dictionary index for W to output and remove W from the input. Add W followed by the next symbol in the input to the dictionary. Go to Step 2.
A dictionary coder, also sometimes known as a substitution coder, is a class of lossless data compression algorithms which operate by searching for matches between the text to be compressed and a set of strings contained in a data structure (called the 'dictionary') maintained by the encoder. When the encoder finds such a match, it substitutes ...
find(string,substring) returns integer Description Returns the position of the start of the first occurrence of substring in string. If the substring is not found most of these routines return an invalid index value – -1 where indexes are 0-based, 0 where they are 1-based – or some value to be interpreted as Boolean FALSE. Related instrrev
Base64 encoding can be helpful when fairly lengthy identifying information is used in an HTTP environment. For example, a database persistence framework for Java objects might use Base64 encoding to encode a relatively large unique id (generally 128-bit UUIDs) into a string for use as an HTTP parameter in HTTP forms or HTTP GET URLs. Also, many ...