What is the worst case time complexity of following implementation of subset sum problem.
(A) O(n * 2^n)
(C) O(n^2 * 2^n)
Explanation: Following is the recurrence for given implementation of subset sum problem
T(n) = 2T(n-1) + C1
T(0) = C1
Where C1 and C2 are some machine specific constants.
The solution of recurrence is O(2^n)
We can see it with the help of recurrence tree method
C1 / \ T(n-1) T(n-1) C1 / \ C1 C1 / \ / \ T(n-2) T(n-2) T(n-2) T(n-2) C1 / \ C1 C1 / \ / \ C1 C1 C1 C1 / \ / \ / \ / \ If we sum the above tree level by level, we get the following series T(n) = C1 + 2C1 + 4C1 + 8C1 + ... The above series is Geometrical progression and there will be n terms in it. So T(n) = O(2^n)