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  2. Sorting algorithm - Wikipedia

    en.wikipedia.org/wiki/Sorting_algorithm

    Recombinant Sort achieves O(n) time complexity for best, average, and worst cases, and can process both numerical and string data types, including mixed decimal and non-decimal numbers. Unlike many traditional sorting algorithms, it maintains consistent linear performance across various input distributions.

  3. Bogosort - Wikipedia

    en.wikipedia.org/wiki/Bogosort

    A pessimal sorting algorithm that is guaranteed to complete in finite time; however, its efficiency can be arbitrarily bad, depending on its configuration. The worstsort algorithm is based on a bad sorting algorithm, badsort. The badsort algorithm accepts two parameters: L, which is the list to be sorted, and k, which is a recursion depth.

  4. Best, worst and average case - Wikipedia

    en.wikipedia.org/wiki/Best,_worst_and_average_case

    In computer science, best, worst, and average cases of a given algorithm express what the resource usage is at least, at most and on average, respectively. Usually the resource being considered is running time, i.e. time complexity, but could also be memory or some other resource. Best case is the function which performs the minimum number of ...

  5. Timsort - Wikipedia

    en.wikipedia.org/wiki/Timsort

    In the best case, which occurs when the input is already sorted, it runs in linear time, meaning that it is an adaptive sorting algorithm. [ 3 ] It is superior to Quicksort for sorting object references or pointers because these require expensive memory indirection to access data and perform comparisons and Quicksort's cache coherence benefits ...

  6. Time complexity - Wikipedia

    en.wikipedia.org/wiki/Time_complexity

    In complexity theory, the unsolved P versus NP problem asks if all problems in NP have polynomial-time algorithms. All the best-known algorithms for NP-complete problems like 3SAT etc. take exponential time. Indeed, it is conjectured for many natural NP-complete problems that they do not have sub-exponential time algorithms.

  7. Selection sort - Wikipedia

    en.wikipedia.org/wiki/Selection_sort

    In computer science, selection sort is an in-place comparison sorting algorithm.It has a O(n 2) time complexity, which makes it inefficient on large lists, and generally performs worse than the similar insertion sort.

  8. Insertion sort - Wikipedia

    en.wikipedia.org/wiki/Insertion_sort

    Insertion sort is a simple sorting algorithm that builds the final sorted array (or list) one item at a time by comparisons. It is much less efficient on large lists than more advanced algorithms such as quicksort , heapsort , or merge sort .

  9. Shellsort - Wikipedia

    en.wikipedia.org/wiki/Shellsort

    The next pass, 3-sorting, performs insertion sort on the three subarrays (a 1, a 4, a 7, a 10), (a 2, a 5, a 8, a 11), (a 3, a 6, a 9, a 12). The last pass, 1-sorting, is an ordinary insertion sort of the entire array (a 1,..., a 12). As the example illustrates, the subarrays that Shellsort operates on are initially short; later they are longer ...