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  2. Quickselect - Wikipedia

    en.wikipedia.org/wiki/Quickselect

    In computer science, quickselect is a selection algorithm to find the kth smallest element in an unordered list, also known as the kth order statistic.Like the related quicksort sorting algorithm, it was developed by Tony Hoare, and thus is also known as Hoare's selection algorithm. [1]

  3. Median of medians - Wikipedia

    en.wikipedia.org/wiki/Median_of_medians

    Secondly, five is the smallest odd number such that median of medians works. With groups of only three elements, the resulting list of medians to search in is length n 3 {\displaystyle {\frac {n}{3}}} , and reduces the list to recurse into length 2 3 n {\displaystyle {\frac {2}{3}}n} , since it is greater than 1/2 × 2/3 = 1/3 of the elements ...

  4. Selection algorithm - Wikipedia

    en.wikipedia.org/wiki/Selection_algorithm

    Therefore, the worst-case number of comparisons needed to select the second smallest is + ⌈ ⁡ ⌉, the same number that would be obtained by holding a single-elimination tournament with a run-off tournament among the values that lost to the smallest value. However, the expected number of comparisons of a randomized selection algorithm can ...

  5. Floyd–Rivest algorithm - Wikipedia

    en.wikipedia.org/wiki/Floyd–Rivest_algorithm

    The following pseudocode rearranges the elements between left and right, such that for some value k, where left ≤ k ≤ right, the kth element in the list will contain the (k − left + 1)th smallest value, with the ith element being less than or equal to the kth for all left ≤ i ≤ k and the jth element being larger or equal to for k ≤ j ≤ right:

  6. Selection sort - Wikipedia

    en.wikipedia.org/wiki/Selection_sort

    In computer science, selection sort is an in-place comparison sorting algorithm.It has a O(n 2) time complexity, which makes it inefficient on large lists, and generally performs worse than the similar insertion sort.

  7. Order statistic - Wikipedia

    en.wikipedia.org/wiki/Order_statistic

    The problem of computing the kth smallest (or largest) element of a list is called the selection problem and is solved by a selection algorithm. Although this problem is difficult for very large lists, sophisticated selection algorithms have been created that can solve this problem in time proportional to the number of elements in the list ...

  8. Min-max heap - Wikipedia

    en.wikipedia.org/wiki/Min-max_heap

    The structure can also be generalized to support other order-statistics operations efficiently, such as find-median, delete-median, [2] find(k) (determine the kth smallest value in the structure) and the operation delete(k) (delete the kth smallest value in the structure), for any fixed value (or set of values) of k. These last two operations ...

  9. Random permutation statistics - Wikipedia

    en.wikipedia.org/wiki/Random_permutation_statistics

    This strategy is precisely equivalent to a traversal of the cycles of the permutation represented by the urns. Every prisoner starts with the urn bearing his number and keeps on traversing his cycle up to a limit of fifty urns. The number of the urn that contains his number is the pre-image of that number under the permutation.