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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]
The important thing here isn't the data structure - it's trivial to implement an out-of-place stable quicksort for arrays, by using a stable out-of-place partition operation (just count the number of elements in each partition, and keep two pointers into the output array while copying elements first from the left partition, then the right ...
If "Quicksort for linked lists" has different characteristics than "Quicksort for arrays" -- one is stable, and the other is not -- then they are different enough for this article to list them as two separate algorithms.
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.
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.
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While the Quick Sort article provides a comprehensive explanation of the algorithm, it could benefit from more real-world examples of how Quick Sort is used in different domains. For instance, the article could discuss how Quick Sort is used in data processing, image processing , or network analysis, and how it compares to other sorting ...