This approach imitates the addition mechanism in digital circuits using bitwise operations. The key operations involved are:
Time Complexity: O(n), where n is the number of bits needed to represent the numbers.
Space Complexity: O(1), constant space usage.
1def get_sum(a, b):
2 while b != 0:
3 carry = a & b
4 a = a ^ b
5 b = carry << 1
6 return a
7
8print(get_sum(2, 3))Python, being a high-level language, allows easy manipulation of integers. The approach and logic are the same: use ^ for interim sum and & followed by a << 1 for updating the carry.
This approach is an extension of the iterative bitwise method but uses recursive calls to achieve the result. Instead of using a loop, it relies on recursive function calls to process the sum and carry until the carry becomes zero.
Time Complexity: O(n), where n is the number of bits.
Space Complexity: O(n), due to the recursive call stack.
1def get_sum(a, b):
2 if b == 0:
3 return a
4 else:
5 return get_sum(a ^ b, (a & b) << 1)
6
7print(get_sum(2, 3))Python's recursive solution handles the addition through a base case check and recursive calls. Each recursive call passes the updated sum and carry until carry is zero.