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  2. Merge sort - Wikipedia

    en.wikipedia.org/wiki/Merge_sort

    In the worst case, merge sort uses approximately 39% fewer comparisons than quicksort does in its average case, and in terms of moves, merge sort's worst case complexity is O(n log n) - the same complexity as quicksort's best case. [7] Merge sort is more efficient than quicksort for some types of lists if the data to be sorted can only be ...

  3. Merge-insertion sort - Wikipedia

    en.wikipedia.org/wiki/Merge-insertion_sort

    Merge-insertion sort also performs fewer comparisons than the sorting numbers, which count the comparisons made by binary insertion sort or merge sort in the worst case. The sorting numbers fluctuate between n log 2 ⁡ n − 0.915 n {\displaystyle n\log _{2}n-0.915n} and n log 2 ⁡ n − n {\displaystyle n\log _{2}n-n} , with the same leading ...

  4. Best, worst and average case - Wikipedia

    en.wikipedia.org/wiki/Best,_worst_and_average_case

    But given a worst-case input, its performance degrades to O(n 2). Also, when implemented with the "shortest first" policy, the worst-case space complexity is instead bounded by O(log(n)). Heapsort has O(n) time when all elements are the same. Heapify takes O(n) time and then removing elements from the heap is O(1) time for each of the n elements.

  5. Sorting algorithm - Wikipedia

    en.wikipedia.org/wiki/Sorting_algorithm

    One implementation can be described as arranging the data sequence in a two-dimensional array and then sorting the columns of the array using insertion sort. The worst-case time complexity of Shellsort is an open problem and depends on the gap sequence used, with known complexities ranging from O(n 2) to O(n 4/3) and Θ(n log 2 n).

  6. Talk:Best, worst and average case - Wikipedia

    en.wikipedia.org/wiki/Talk:Best,_worst_and...

    1 Merge with average performance ... 2 Removed content from best case. 2 comments. 3 Merger proposal. 3 comments. 4 Confusion. 1 comment. Toggle the table of contents ...

  7. Sorting number - Wikipedia

    en.wikipedia.org/wiki/Sorting_number

    In mathematics and computer science, the sorting numbers are a sequence of numbers introduced in 1950 by Hugo Steinhaus for the analysis of comparison sort algorithms. These numbers give the worst-case number of comparisons used by both binary insertion sort and merge sort. However, there are other algorithms that use fewer comparisons.

  8. 10 of the best and 10 of the worst movies of the year, so far

    www.aol.com/10-best-10-worst-movies-122401008.html

    Here are the best and worst films of 2024 so far, according to critics. "Will & Harper" left critics laughing and wiping away tears. Will Ferrell and Harper Steele in "Will & Harper."

  9. Merge algorithm - Wikipedia

    en.wikipedia.org/wiki/Merge_algorithm

    Repeatedly merge sublists to create a new sorted sublist until the single list contains all elements. The single list is the sorted list. The merge algorithm is used repeatedly in the merge sort algorithm. An example merge sort is given in the illustration. It starts with an unsorted array of 7 integers. The array is divided into 7 partitions ...