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  2. Quicksort - Wikipedia

    en.wikipedia.org/wiki/Quicksort

    Major programming languages, such as C++ (in the GNU and LLVM implementations), use introsort. [30] Quicksort also competes with merge sort, another O(n log n) sorting algorithm. Merge sort's main advantages are that it is a stable sort and has excellent worst-case performance.

  3. 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.

  4. 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]

  5. Activity selection problem - Wikipedia

    en.wikipedia.org/wiki/Activity_selection_problem

    This operation can be done in (⁡) time, using for example merge sort, heap sort, or quick sort algorithms. Line 4: Creates a set S {\displaystyle S} to store the selected activities , and initialises it with the activity A [ 1 ] {\displaystyle A[1]} that has the earliest finish time.

  6. External sorting - Wikipedia

    en.wikipedia.org/wiki/External_sorting

    The previous example is a two-pass sort: first sort, then merge. The sort ends with a single k -way merge, rather than a series of two-way merge passes as in a typical in-memory merge sort. This is because each merge pass reads and writes every value from and to disk, so reducing the number of passes more than compensates for the additional ...

  7. Divide-and-conquer algorithm - Wikipedia

    en.wikipedia.org/wiki/Divide-and-conquer_algorithm

    For example, the quicksort algorithm can be implemented so that it never requires more than ⁡ nested recursive calls to sort items. Stack overflow may be difficult to avoid when using recursive procedures since many compilers assume that the recursion stack is a contiguous area of memory, and some allocate a fixed amount of space for it.

  8. Algorithmic skeleton - Wikipedia

    en.wikipedia.org/wiki/Algorithmic_skeleton

    The following example is based on the Java Skandium library for parallel programming. The objective is to implement an Algorithmic Skeleton-based parallel version of the QuickSort algorithm using the Divide and Conquer pattern. Notice that the high-level approach hides Thread management from the programmer.

  9. 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.