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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. Stable marriage problem - Wikipedia

    en.wikipedia.org/wiki/Stable_marriage_problem

    The participants on one side of the matching (the hospitals) may have a numerical capacity, specifying the number of doctors they are willing to hire. The total number of participants on one side might not equal the total capacity to which they are to be matched on the other side. The resulting matching might not match all of the participants.

  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. 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.

  6. Rabin–Karp algorithm - Wikipedia

    en.wikipedia.org/wiki/Rabin–Karp_algorithm

    Generalizations of the same idea can be used to find more than one match of a single pattern, or to find matches for more than one pattern. To find a single match of a single pattern, the expected time of the algorithm is linear in the combined length of the pattern and text, although its worst-case time complexity is the product of the two ...

  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. Bracket matching - Wikipedia

    en.wikipedia.org/wiki/Bracket_matching

    Bracket matching, also known as brace matching or parentheses matching, is a syntax highlighting feature of certain text editors and integrated development environments that highlights matching sets of brackets (square brackets, curly brackets, or parentheses) in languages such as Java, JavaScript, and C++ that use them. The purpose is to help ...

  9. 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".