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  2. In-place algorithm - Wikipedia

    en.wikipedia.org/wiki/In-place_algorithm

    In computer science, an in-place algorithm is an algorithm that operates directly on the input data structure without requiring extra space proportional to the input size. In other words, it modifies the input in place, without creating a separate copy of the data structure.

  3. Longest repeated substring problem - Wikipedia

    en.wikipedia.org/wiki/Longest_repeated_substring...

    A suffix tree of the letters ATCGATCGA$ In computer science, the longest repeated substring problem is the problem of finding the longest substring of a string that occurs at least twice.

  4. Don't repeat yourself - Wikipedia

    en.wikipedia.org/wiki/Don't_repeat_yourself

    "Don't repeat yourself" (DRY), also known as "duplication is evil", is a principle of software development aimed at reducing repetition of information which is likely to change, replacing it with abstractions that are less likely to change, or using data normalization which avoids redundancy in the first place.

  5. Bloom filter - Wikipedia

    en.wikipedia.org/wiki/Bloom_filter

    Distributed Single Shot Bloom filter for duplicate detection with false positive rate: 6 elements are distributed over 3 PEs, each with a bit array of length 4. During the first communication step PE 1 receives the hash '2' twice and sends it back to either PE 2 or 3, depending on who sent it later.

  6. Clique problem - Wikipedia

    en.wikipedia.org/wiki/Clique_problem

    However, some cliques of G may be generated in this way from more than one parent clique of G \ v, so they eliminate duplicates by outputting a clique in G only when its parent in G \ v is lexicographically maximum among all possible parent cliques.

  7. Knapsack problem - Wikipedia

    en.wikipedia.org/wiki/Knapsack_problem

    The most common problem being solved is the 0-1 knapsack problem, which restricts the number of copies of each kind of item to zero or one. Given a set of items numbered from 1 up to , each with a weight and a value , along with a maximum weight capacity ,

  8. Data deduplication - Wikipedia

    en.wikipedia.org/wiki/Data_deduplication

    The reasons for this are two-fold: First, data deduplication requires overhead to discover and remove the duplicate data. In primary storage systems, this overhead may impact performance. The second reason why deduplication is applied to secondary data, is that secondary data tends to have more duplicate data.

  9. Fisher–Yates shuffle - Wikipedia

    en.wikipedia.org/wiki/Fisher–Yates_shuffle

    (April 2017) (Learn how and when to remove this message) The Fisher–Yates shuffle, as implemented by Durstenfeld, is an in-place shuffle . That is, given a preinitialized array, it shuffles the elements of the array in place, rather than producing a shuffled copy of the array.