Question

4. Given a set of n numbers with range of values for 1 to n4. Sorting using counting sort will be faster than sorting using merge sort. Int funcl (int m, int n) if (n-1) return m return m + funci(m, n-2); 2) What does this funcl do? What is its recursive equation? what is it's time complexity?

Answer 1

Counting sort is a linear time sorting algorithm that works by counting the number of occurrences of each distinct element in the input array and then using arithmetic to calculate the position of each element in the output sequence. The running time of counting sort is O(n+k), where n is the number of elements in the input array and k is the range of values in the input array. In this case, the range of values is n^4.

Merge sort, on the other hand, is a comparison-based sorting algorithm that works by dividing the input array into two halves, sorting the two halves recursively, and then merging the sorted halves. The worst-case running time of merge sort is O(n log n).

Since the range of values in the input array is so large (n^4), using counting sort to sort the array would require an array of size n^4, which could be prohibitively large. Therefore, in this case, sorting using counting sort may not necessarily be faster than sorting using merge sort.

Regarding the given function, funcl, it is a recursive function that computes the sum of the first n integers squared. The recursive equation for funcl is:

funcl(m, n) = m^2 + funcl(m, n-1)

The time complexity of funcl is O(n), as each recursive call decrements n by 2 until it reaches 1.

Step-by-step explanation: