The time complexity of the algorithm is O(log n).
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The running time of the heap sort algorithm is O(n log n) in terms of time complexity.
When comparing the efficiency of algorithms in terms of time complexity, an algorithm with a time complexity of n log n is generally more efficient than an algorithm with a time complexity of n. This means that as the input size (n) increases, the algorithm with n log n will perform better and faster than the algorithm with n.
The Big O notation of Quicksort algorithm is O(n log n) in terms of time complexity.
The time complexity of Quicksort algorithm is O(n log n) in terms of Big O notation.
The time complexity of the algorithm is O(n log n), which means the running time grows in proportion to n multiplied by the logarithm of n.