Give a tight bound of the nearest runtime complexity class for the following code fragment in Big-Oh notation, in terms of the variable N. In other words, write the code's growth rate as N grows. Write a simple expression that gives only a power of N using a caret ^ character for exponentiation, such as O(N^2) to represent O(N ) or O(log N) to represent O(log N). Do not write an exact calculation of the runtime such as O(2N + 4N + 14). Can someone help me please. And explain your process These are possible answers: O(N^2), O(c) where c is a constant, O(logN + N), O(N) ArrayList list = new ArrayList() 2 3 4 for int i = 4; i <= N + 7; i++ { hashset.add(i); 5 6 7 8 for (int num : hashset) { list.add(num); 10 11 12 13 14 while (!list.isEmpty()) { list.remove(0); println("done!");
