The runtime complexity of the bucket sort algorithm is O(nk), where n is the number of elements to be sorted and k is the number of buckets used.
The runtime complexity of the heap sort algorithm is O(n log n), where n is the number of elements in the input array.
The memory complexity of the quick sort algorithm is O(log n) in the best case and O(n) in the worst case.
The time complexity of the heap sort algorithm is O(n log n), where n is the number of elements in the input array.
The running time of the heap sort algorithm is O(n log n) in terms of time complexity.
The space complexity of the quick sort algorithm is O(log n) in the best and average cases, and O(n) in the worst case.
The runtime complexity of the heap sort algorithm is O(n log n), where n is the number of elements in the input array.
o(n)
The memory complexity of the quick sort algorithm is O(log n) in the best case and O(n) in the worst case.
The time complexity of the heap sort algorithm is O(n log n), where n is the number of elements in the input array.
The running time of the heap sort algorithm is O(n log n) in terms of time complexity.
The space complexity of the quick sort algorithm is O(log n) in the best and average cases, and O(n) in the worst case.
The space complexity of the Quick Sort algorithm is O(log n) in the best and average cases, and O(n) in the worst case.
The time complexity of the quick sort algorithm is O(n log n) in the average case and O(n2) in the worst case.
The worst case time complexity of the quick sort algorithm is O(n2), where n is the number of elements in the input array.
The average case time complexity of the Bubble Sort algorithm is O(n2), where n is the number of elements in the array being sorted.
The worst-case time complexity of the heap sort algorithm is O(n log n), where n is the number of elements in the input array.
The Big O notation of the selection sort algorithm is O(n2), indicating that its time complexity is quadratic.