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  2. Pattern matching - Wikipedia

    en.wikipedia.org/wiki/Pattern_matching

    will match elements such as A[1], A[2], or more generally A[x] where x is any entity. In this case, A is the concrete element, while _ denotes the piece of tree that can be varied. A symbol prepended to _ binds the match to that variable name while a symbol appended to _ restricts the matches to nodes of that

  3. Approximate string matching - Wikipedia

    en.wikipedia.org/wiki/Approximate_string_matching

    Common applications of approximate matching include spell checking. [5] With the availability of large amounts of DNA data, matching of nucleotide sequences has become an important application. [1] Approximate matching is also used in spam filtering. [5] Record linkage is a common application where records from two disparate databases are matched.

  4. Talk:eHarmony - Wikipedia

    en.wikipedia.org/wiki/Talk:EHarmony

    The research that eHarmony has developed, through years of research, to match couples has been based on traits and personality patterns of successful heterosexual marriages. Nothing precludes eHarmony from providing same-sex matching in the future; it's just not a service we offer now based upon the research we have conducted."

  5. String-searching algorithm - Wikipedia

    en.wikipedia.org/wiki/String-searching_algorithm

    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.

  6. Boyer–Moore string-search algorithm - Wikipedia

    en.wikipedia.org/wiki/Boyer–Moore_string-search...

    This uses information gleaned during the pre-processing of the pattern in conjunction with suffix match lengths recorded at each match attempt. Storing suffix match lengths requires an additional table equal in size to the text being searched. The Raita algorithm improves the performance of Boyer–Moore–Horspool algorithm. The searching ...

  7. Matching wildcards - Wikipedia

    en.wikipedia.org/wiki/Matching_wildcards

    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]

  8. Stable roommates problem - Wikipedia

    en.wikipedia.org/wiki/Stable_roommates_problem

    The matching is stable if there are no two elements which are not roommates and which both prefer each other to their roommate under the matching. This is distinct from the stable-marriage problem in that the stable-roommates problem allows matches between any two elements, not just between classes of "men" and "women".

  9. Raita algorithm - Wikipedia

    en.wikipedia.org/wiki/Raita_Algorithm

    If there is a match, first character of the pattern is compared with the leftmost character of the window. If they match again, it compares the middle character of the pattern with middle character of the window. If everything in the pre-check is successful, then the original comparison starts from the second character to last but one.