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  2. Quicksort - Wikipedia

    en.wikipedia.org/wiki/Quicksort

    When the input is a random permutation, the pivot has a random rank, and so it is not guaranteed to be in the middle 50 percent. However, when we start from a random permutation, in each recursive call the pivot has a random rank in its list, and so it is in the middle 50 percent about half the time. That is good enough.

  3. Quickselect - Wikipedia

    en.wikipedia.org/wiki/Quickselect

    Quickselect uses the same overall approach as quicksort, choosing one element as a pivot and partitioning the data in two based on the pivot, accordingly as less than or greater than the pivot. However, instead of recursing into both sides, as in quicksort, quickselect only recurses into one side – the side with the element it is searching for.

  4. Selection algorithm - Wikipedia

    en.wikipedia.org/wiki/Selection_algorithm

    Quickselect chooses the pivot uniformly at random from the input values. It can be described as a prune and search algorithm, [9] a variant of quicksort, with the same pivoting strategy, but where quicksort makes two recursive calls to sort the two subcollections and , quickselect only makes one of these two calls.

  5. Sorting algorithm - Wikipedia

    en.wikipedia.org/wiki/Sorting_algorithm

    In practice choosing a random pivot almost certainly yields O(n log n) performance. If a guarantee of O(n log n) performance is important, there is a simple modification to achieve that. The idea, due to Musser, is to set a limit on the maximum depth of recursion. [32] If that limit is exceeded, then sorting is continued using the heapsort ...

  6. Talk:Quicksort/Archive 1 - Wikipedia

    en.wikipedia.org/wiki/Talk:Quicksort/Archive_1

    Why does the square on the right says that Quicksort's datatype is an array? It's perfectly possible to use quicksort for sorting arrays (only the implementation would be different). - João Jerónimo 03:52, 11 May 2008 (UTC) It's conventionally arrays, primarily because quicksort requires random access to make good pivot choices.

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    www.aol.com/quick-pick-vs-picking-own-115700389.html

    The Best of Both Worlds Quick Pick Options Our Quick Pick is similar to what in-person lottery retailers offer, but with a huge advantage: You get to see the numbers before you commit to the order.

  8. The Quicksort algorithm has three steps: 1) Pick an element, called a pivot, from the list. 2) Reorder the list so that all elements which are less than the pivot come before the pivot and so that all elements greater than the pivot come after it (equal values can go either way). After this partitioning, the pivot is in its final position.

  9. Multi-key quicksort - Wikipedia

    en.wikipedia.org/wiki/Multi-key_quicksort

    Multi-key quicksort, also known as three-way radix quicksort, [1] is an algorithm for sorting strings.This hybrid of quicksort and radix sort was originally suggested by P. Shackleton, as reported in one of C.A.R. Hoare's seminal papers on quicksort; [2]: 14 its modern incarnation was developed by Jon Bentley and Robert Sedgewick in the mid-1990s. [3]

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