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Class | Sorting algorithm |
---|---|
Data structure | Array |
Worst-case performance | O(n²) (unbalanced) O(n log n) (balanced) |
Best-case performance | O(n log n) [citation needed] |
Average performance | O(n log n) |
Worst-case space complexity | Θ(n) |
Optimal | Yes, if balanced |
A tree sort is a sort algorithm that builds a binary search tree from the elements to be sorted, and then traverses the tree (in-order) so that the elements come out in sorted order.[1] Its typical use is sorting elements online: after each insertion, the set of elements seen so far is available in sorted order.
Tree sort can be used as a one-time sort, but it is equivalent to quicksort as both recursively partition the elements based on a pivot, and since quicksort is in-place and has lower overhead, tree sort has few advantages over quicksort. It has better worst case complexity when a self-balancing tree is used, but even more overhead.