I've never seen dual pivot quick sort before. Is it an upgraded edition of quick sort?
And what is the difference between dual pivot quick sort and quick sort?
Dual pivot quick sort is a little bit faster than the original single pivot quicksort. But still, the worst case will remain O(n^2) when the array is already sorted in an increasing or decreasing order.
The algorithm behaves best if 3 to 5 pivots are used. Experiments show that this translates into good cache behavior and is closest to predicting observed running times of multi-pivot quicksort algorithms. Finally, it is studied how choosing pivots from a sample affects sorting cost.
The quicksort algorithm is a sorting algorithm that sorts a collection by choosing a pivot point, and partitioning the collection around the pivot, so that elements smaller than the pivot are before it, and elements larger than the pivot are after it.
I find this in the Java doc.
The sorting algorithm is a Dual-Pivot Quicksort by Vladimir Yaroslavskiy, Jon Bentley, and Joshua Bloch. This algorithm offers O(n log(n)) performance on many data sets that cause other quicksorts to degrade to quadratic performance, and is typically faster than traditional (one-pivot) Quicksort implementations.
Then I find this in the Google search result. Theory of quick sort algorithm:
In comparison, dual-pivot quick sort:
I just want to add that from the algorithm point of view (i.e. the cost only considers the number of comparisons and swaps), 2-pivot quicksort and 3-pivot quicksort is not better than classical quicksort (which uses 1 pivot), if not worse. However, they are faster in practice since they take the benefits of modern computer architecture. Specifically, their numbers of cache misses are smaller. So if we remove all caches and there are only CPU and main memory, in my understanding, 2/3-pivot quicksort is worse than classical quicksort.
References: 3-pivot Quicksort: https://epubs.siam.org/doi/pdf/10.1137/1.9781611973198.6 Analysis of why they perform better than classical Quicksort: https://arxiv.org/pdf/1412.0193v1.pdf A complete and not-too-much-details reference: https://algs4.cs.princeton.edu/lectures/23Quicksort.pdf
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