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  2. Interpolation sort - Wikipedia

    en.wikipedia.org/wiki/Interpolation_sort

    As the JavaScript array object is suitable for this sorting method, the difference in data structure is related to the speed of data access and thus the time required for sorting. The linear time Θ(n) is used when the values in the array to be sorted are evenly distributed.

  3. Block sort - Wikipedia

    en.wikipedia.org/wiki/Block_Sort

    Block sort begins by performing insertion sort on groups of 16–31 items in the array. Insertion sort is an O(n 2) operation, so this leads to anywhere from O(16 2 × n/16) to O(31 2 × n/31), which is O(n) once the constant factors are omitted. It must also apply an insertion sort on the second internal buffer after each level of merging is ...

  4. Sorting algorithm - Wikipedia

    en.wikipedia.org/wiki/Sorting_algorithm

    Bucket sort is a divide-and-conquer sorting algorithm that generalizes counting sort by partitioning an array into a finite number of buckets. Each bucket is then sorted individually, either using a different sorting algorithm, or by recursively applying the bucket sorting algorithm.

  5. Insertion sort - Wikipedia

    en.wikipedia.org/wiki/Insertion_sort

    The best case input is an array that is already sorted. In this case insertion sort has a linear running time (i.e., O(n)).During each iteration, the first remaining element of the input is only compared with the right-most element of the sorted subsection of the array.

  6. Bubble sort - Wikipedia

    en.wikipedia.org/wiki/Bubble_sort

    Take an array of numbers "5 1 4 2 8", and sort the array from lowest number to greatest number using bubble sort. In each step, elements written in bold are being compared. Three passes will be required; First Pass ( 5 1 4 2 8 ) → ( 1 5 4 2 8 ), Here, algorithm compares the first two elements, and swaps since 5 > 1.

  7. Cycle sort - Wikipedia

    en.wikipedia.org/wiki/Cycle_sort

    When the array contains only duplicates of a relatively small number of items, a constant-time perfect hash function can greatly speed up finding where to put an item 1, turning the sort from Θ(n 2) time to Θ(n + k) time, where k is the total number of hashes. The array ends up sorted in the order of the hashes, so choosing a hash function ...

  8. In-place algorithm - Wikipedia

    en.wikipedia.org/wiki/In-place_algorithm

    As another example, many sorting algorithms rearrange arrays into sorted order in-place, including: bubble sort, comb sort, selection sort, insertion sort, heapsort, and Shell sort. These algorithms require only a few pointers, so their space complexity is O(log n). [1] Quicksort operates in-place on the data to be sorted.

  9. Proxmap sort - Wikipedia

    en.wikipedia.org/wiki/Proxmap_sort

    ProxmapSort, or Proxmap sort, is a sorting algorithm that works by partitioning an array of data items, or keys, into a number of "subarrays" (termed buckets, in similar sorts). The name is short for computing a "proximity map," which indicates for each key K the beginning of a subarray where K will reside in the final sorted order.