Search results
Results from the WOW.Com Content Network
/B Matches pattern if at the beginning of a line. /E Matches pattern if at the end of a line. /L Uses search strings literally. /R Uses search strings as regular expressions. /S Searches for matching files in the current directory and all subdirectories. /I Specifies that the search is not to be case-sensitive. /X Prints lines that match exactly.
agrep (approximate grep) is an open-source approximate string matching program, developed by Udi Manber and Sun Wu between 1988 and 1991, [26] for use with the Unix operating system. It was later ported to OS/2, DOS, and Windows. agrep matches even when the text only approximately fits the search pattern. [27]
A regular expression (shortened as regex or regexp), [1] sometimes referred to as rational expression, [2] [3] is a sequence of characters that specifies a match pattern in text. ...
DR DOS 6.0 [11] and Datalight ROM-DOS [12] include an implementation of the find command. The FreeDOS version was developed by Jim Hall and is licensed under the GPL. [13] The Unix command find performs an entirely different function, analogous to forfiles on Windows. The rough equivalent to the Windows find is the Unix grep. [14]
agrep (approximate grep) is an open-source approximate string matching program, developed by Udi Manber and Sun Wu between 1988 and 1991, [1] for use with the Unix operating system. It was later ported to OS/2 , DOS , and Windows .
In computer science, an algorithm for matching wildcards (also known as globbing) is useful in comparing text strings that may contain wildcard syntax. [1] Common uses of these algorithms include command-line interfaces, e.g. the Bourne shell [2] or Microsoft Windows command-line [3] or text editor or file manager, as well as the interfaces for some search engines [4] and databases. [5]
xargs (short for "extended arguments") [1] is a command on Unix and most Unix-like operating systems used to build and execute commands from standard input.It converts input from standard input into arguments to a command.
A counting Bloom filter is a probabilistic data structure that is used to test whether the number of occurrences of a given element in a sequence exceeds a given threshold. As a generalized form of the Bloom filter, false positive matches are possible, but false negatives are not – in other words, a query returns either "possibly bigger or equal than the threshold" or "definitely smaller ...