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  2. Timsort - Wikipedia

    en.wikipedia.org/wiki/Timsort

    The original merge sort implementation is not in-place and it has a space overhead of N (data size). In-place merge sort implementations exist, but have a high time overhead. In order to achieve a middle term, Timsort performs a merge sort with a small time overhead and smaller space overhead than N.

  3. Sorting algorithm - Wikipedia

    en.wikipedia.org/wiki/Sorting_algorithm

    An example of stable sort on playing cards. When the cards are sorted by rank with a stable sort, the two 5s must remain in the same order in the sorted output that they were originally in. When they are sorted with a non-stable sort, the 5s may end up in the opposite order in the sorted output.

  4. Template:Time table sorting - Wikipedia

    en.wikipedia.org/wiki/Template:Time_table_sorting

    These will sort correctly, without this template's being necessary, provided the seconds have leading zeroes, and the decimals trailing zeroes where necessary. However, in a longer race, where the results include times both below and above 10 minutes, then times of 10 to 19 minutes will sort before any lower time of 2 minutes and above.

  5. Sorting - Wikipedia

    en.wikipedia.org/wiki/Sorting

    For example, during the extraction of gold from ore, a device called a shaker table uses gravity, vibration, and flow to separate gold from lighter materials in the ore (sorting by size and weight). Sorting is also a naturally occurring process that results in the concentration of ore or sediment. Sorting results from the application of some ...

  6. Help:Sortable tables - Wikipedia

    en.wikipedia.org/wiki/Help:Sortable_tables

    The ! indicates cells that are header cells. In order for a table to be sortable, the first row(s) of a table need to be entirely made up out of these header cells. You can learn more about the basic table syntax by taking the Introduction to tables for source editing.

  7. Adaptive sort - Wikipedia

    en.wikipedia.org/wiki/Adaptive_sort

    Comparison-based sorting algorithms have traditionally dealt with achieving an optimal bound of O(n log n) when dealing with time complexity.Adaptive sort takes advantage of the existing order of the input to try to achieve better times, so that the time taken by the algorithm to sort is a smoothly growing function of the size of the sequence and the disorder in the sequence.

  8. Bitonic sorter - Wikipedia

    en.wikipedia.org/wiki/Bitonic_sorter

    The following is a bitonic sorting network with 16 inputs: The 16 numbers enter as the inputs at the left end, slide along each of the 16 horizontal wires, and exit at the outputs at the right end. The network is designed to sort the elements, with the largest number at the bottom. The arrows are comparators.

  9. Integer sorting - Wikipedia

    en.wikipedia.org/wiki/Integer_sorting

    Both algorithms involve only simple loops over the input data (taking time O(n)) and over the set of possible keys (taking time O(K)), giving their O(n + K) overall time bound. Radix sort is a sorting algorithm that works for larger keys than pigeonhole sort or counting sort by performing multiple passes over the data. Each pass sorts the input ...