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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.
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]
While the Quick Sort article gives people the view of the quick sort algorithm, we can update some new findings to it to make it stay up to the new research. For example, when changing the pick of pivots will improve the worst case of time complexity from O(N^2) to O(NlogN). MiaoQiQi 20:55, 14 March 2023 (UTC)
Therefore I motion this reverts to quicksort not being stable unless someone posts URLs to white papers that indicate that recent research indicate that Quicksort can be made stable. NOTE: Quicksort for linked lists can be stable, but I am talking about the array version which I believe this Wiki article addresses.
A well-implemented quicksort requires at most lg(N) partition boundaries on the stack. Instead of recursing for both left and right partitions, recurse for the *smaller* partition, then "adjust" the partition boundaries at the current call level and loop.
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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.