• In computer science, selection sort is an in-place comparison sorting algorithm. It has an O(n2) time complexity, which makes it inefficient on large lists...
    12 KB (1,655 words) - 14:27, 15 September 2024
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    e., O(n2)) sorting algorithms More efficient in practice than most other simple quadratic algorithms such as selection sort or bubble sort Adaptive, i...
    22 KB (2,922 words) - 18:19, 7 September 2024
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    exchange, selection, merging, etc. Exchange sorts include bubble sort and quicksort. Selection sorts include cycle sort and heapsort. Whether the algorithm is...
    68 KB (6,410 words) - 22:44, 6 September 2024
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    allowed, bubble sort sorts in O(n) time, making it considerably faster than parallel implementations of insertion sort or selection sort which do not parallelize...
    19 KB (2,330 words) - 02:55, 29 August 2024
  • example, many sorting algorithms rearrange arrays into sorted order in-place, including: bubble sort, comb sort, selection sort, insertion sort, heapsort...
    8 KB (1,151 words) - 22:30, 10 September 2024
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    Heapsort (redirect from Heap sort)
    comparison-based sorting algorithm which can be thought of as "an implementation of selection sort using the right data structure." Like selection sort, heapsort...
    50 KB (5,789 words) - 14:23, 27 July 2024
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    for an out-of-order item, then insert the item in the proper place. Selection sort: Find the smallest (or biggest) element in the array, and put it in...
    6 KB (778 words) - 16:31, 19 May 2024
  • Thumbnail for Cocktail shaker sort
    shaker sort, also known as bidirectional bubble sort, cocktail sort, shaker sort (which can also refer to a variant of selection sort), ripple sort, shuffle...
    9 KB (1,087 words) - 17:46, 25 November 2023
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    science, merge sort (also commonly spelled as mergesort and as merge-sort) is an efficient, general-purpose, and comparison-based sorting algorithm. Most...
    49 KB (6,723 words) - 09:05, 31 August 2024
  • Thumbnail for Quicksort
    Quicksort (redirect from Quick sort)
    T(n)=O(n)+T(0)+T(n-1)=O(n)+T(n-1).} This is the same relation as for insertion sort and selection sort, and it solves to worst case T(n) = O(n2). In the most balanced...
    71 KB (9,936 words) - 17:41, 23 August 2024