The time complexity for calculating the factorial of a number is O(n), where n is the number for which the factorial is being calculated.
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The computational complexity of the recursive factorial method is O(n), where n is the input number for which the factorial is being calculated.
The Big O notation of a while loop in terms of time complexity is O(n), where n represents the number of iterations the loop performs.
The time complexity of Radix Sort is O(nk), where n is the number of elements in the input array and k is the number of digits in the largest element.
The time complexity of a while loop is O(n), where n represents the number of iterations the loop performs.
The time complexity of heap search is O(log n), where n is the number of elements in the heap. This means that the search time complexity of a heap search operation is logarithmic in the number of elements in the heap.