Heap Sort: Difference between revisions
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{| class="wikitable" style="text-align: left;" | {| class="wikitable" style="text-align: left;" | ||
| [[Algorithm_Complexity#Worst-case_Running_Time|Worst-case time]] || O(n | | [[Algorithm_Complexity#Worst-case_Running_Time|Worst-case time]] || O(n log n) | ||
|- | |- | ||
| [[Algorithm_Complexity#Average-case_Running_Time|Average-case time]] || | | [[Algorithm_Complexity#Average-case_Running_Time|Average-case time]] || |
Latest revision as of 23:58, 19 October 2021
Internal
Overview
Worst-case time | O(n log n) |
Average-case time | |
Best-case time |
Algorithm
For each element we need to sort, insert it in a min heap, using the heap's INSERT operation. The running time of an individual INSERT is O(log n), so the insertion in a loop will have a running time of O(n log n). Once all the elements that need to be sorted are placed in the min heap, extract the minimum element from the heap, also in a loop, with REMOVE-MIN and place it in order in the final array. The running time of the second phase is O(n log n). The total running time is O(n log n).