Largest number M having bit count of N such that difference between their OR and XOR value is maximized
Given a natural number N, the task is to find the largest number M having the same length in binary representation as N such that the difference between N | M and N ^ M is maximum.
Input: N = 6
All number numbers having same length in binary representation as N are 4, 5, 6, 7.
(6 | 4) – (6 ^ 4) = 4
(6 | 5) – (6 ^ 5) = 4
(6 | 6) – (6 ^ 6) = 6
(6 | 7) – (6 ^ 7) = 6
Hence, largest M for which (N | M) – (N ^ M) is maximum is 7
Input: N = 10
The largest number M = 15 which has the same length in binary representation as 10 and the difference between N | M and N ^ M is maximum.
Naive Approach: The idea is to simply find all the numbers having the same length in binary representation as N and then for every number iterate and find the largest integer having (N | i) – (N ^ i) maximum.
Time Complexity: O(N)
Auxiliary Space: O(1)
Efficient Approach: The idea is to initialize M = 0 and iterate bit by bit in N (say i) and set or unset the ith bit of M according to the following 2 observations :
- When an ith bit of N is set: In this case, if we unset the ith bit of M, ith bit of both N | M and N^M will be set whereas on setting this bit of M, an ith bit of N|M will be set and N^M will be unset which will increase (N | M) – (N ^ M). Hence, it is optimal to set this bit of M.
- When an ith bit of N is unset: In this case, if we set this bit of M, both N|M and N^M will have this bit set or on keeping this bit of M unset both N|M and N^M will have this bit unset. So, in this case, we cannot increase the difference between them but as the requirement is to output the maximum M possible, so set this bit of M.
- From the above observations, it is clear that M will have all the bits set.
Below is the implementation of the above approach:
Time Complexity: O(log N)
Auxiliary Space: O(1)
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