time complexity of heap sort
The time complexity of heap sort is a measure of the efficiency of this sorting algorithm. It describes how the running time of the algorithm increases as the size of the input (number of elements to be sorted) grows. Heap sort has an average and worst-case time complexity of O(n log n), where n is the number of elements in the input array. This means that as the input size increases, the time taken by heap sort increases logarithmically. The relation between time complexity and heap sort is that as the input size grows, the time required for heap sort also grows but at a slower rate, making it an efficient sorting algorithm for large input sizes.
Requires login.
Related Concepts (2)
Similar Concepts
- applications of heap sort
- average-case time complexity of binary heap operations
- best-case time complexity of binary heap operations
- heapify time complexity
- heapsort algorithm
- performance analysis of heap sort
- space complexity of binary heap operations
- space complexity of binary heaps
- space complexity of heap sort
- stability of heap sort
- time complexity
- time complexity of binary heap operations
- time complexity of binary heaps
- time complexity of heap operations
- worst-case time complexity of binary heap build