enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Quicksort - Wikipedia

    en.wikipedia.org/wiki/Quicksort

    Quicksort is an efficient, general-purpose sorting algorithm. Quicksort was developed by British computer scientist Tony Hoare in 1959 [1] and published in 1961. [2] It is still a commonly used algorithm for sorting. Overall, it is slightly faster than merge sort and heapsort for randomized data, particularly on larger distributions. [3]

  3. Sorting algorithm - Wikipedia

    en.wikipedia.org/wiki/Sorting_algorithm

    Efficient implementations of quicksort (with in-place partitioning) are typically unstable sorts and somewhat complex but are among the fastest sorting algorithms in practice. Together with its modest O(log n) space usage, quicksort is one of the most popular sorting algorithms and is available in many standard programming libraries.

  4. Convex hull algorithms - Wikipedia

    en.wikipedia.org/wiki/Convex_hull_algorithms

    Created independently in 1977 by W. Eddy and in 1978 by A. Bykat. Just like the quicksort algorithm, it has the expected time complexity of O(n log n), but may degenerate to O(n 2) in the worst case. Divide and conquer, a.k.a. merge hull — O(n log n) Another O(n log n) algorithm, published in 1977 by Preparata and Hong. This algorithm is also ...

  5. Bubble sort - Wikipedia

    en.wikipedia.org/wiki/Bubble_sort

    More efficient algorithms such as quicksort, timsort, or merge sort are used by the sorting libraries built into popular programming languages such as Python and Java. [ 2 ] [ 3 ] However, if parallel processing is allowed, bubble sort sorts in O(n) time, making it considerably faster than parallel implementations of insertion sort or selection ...

  6. Talk:Quicksort/Archive 1 - Wikipedia

    en.wikipedia.org/wiki/Talk:Quicksort/Archive_1

    Yes, my comment was meant to emphasize that most in-place partitioning algorithms are unstable, and most stable ones are not in place. Most variants of quicksort, however, are not in-place because they use a stack of depth at least log n (in fact, if the values being sorted may be arbitrarily large, it requires log 2 n space, where n is the ...

  7. Talk:Radix sort - Wikipedia

    en.wikipedia.org/wiki/Talk:Radix_sort

    quicksort is not n (log n), its n^2, I fixed this - quicksort utilizing a random pivot can be shown to be (Big Theta)(n*log n) as instead of one decision tree for the program there exist many. As one makes n arbitrarily large, the probability of picking a tree which perfectly matches the sortedness of the data set such that the pivot is always ...

  8. Introsort - Wikipedia

    en.wikipedia.org/wiki/Introsort

    Introsort or introspective sort is a hybrid sorting algorithm that provides both fast average performance and (asymptotically) optimal worst-case performance. It begins with quicksort, it switches to heapsort when the recursion depth exceeds a level based on (the logarithm of) the number of elements being sorted and it switches to insertion sort when the number of elements is below some threshold.

  9. Tree sort - Wikipedia

    en.wikipedia.org/wiki/Tree_sort

    On most common platforms, this means that heap memory has to be used, which is a significant performance hit when compared to quicksort and heapsort [citation needed]. When using a splay tree as the binary search tree, the resulting algorithm (called splaysort ) has the additional property that it is an adaptive sort , meaning that its running ...