Count number of 1's in binary representation
Efficient way to count number of 1s in the binary representation of a number in O(1) if you have enough memory to play with. This is an interview question I found on an online forum, but it had no answer. Can somebody suggest something, I cant think of a way to do it in O(1) time?
Solution 1:
That's the Hamming weight problem, a.k.a. population count. The link mentions efficient implementations. Quoting:
With unlimited memory, we could simply create a large lookup table of the Hamming weight of every 64 bit integer
Solution 2:
I've got a solution that counts the bits in O(Number of 1's)
time:
bitcount(n):
count = 0
while n > 0:
count = count + 1
n = n & (n-1)
return count
In worst case (when the number is 2^n - 1, all 1's in binary) it will check every bit.
Edit: Just found a very nice constant-time, constant memory algorithm for bitcount. Here it is, written in C:
int BitCount(unsigned int u)
{
unsigned int uCount;
uCount = u - ((u >> 1) & 033333333333) - ((u >> 2) & 011111111111);
return ((uCount + (uCount >> 3)) & 030707070707) % 63;
}
You can find proof of its correctness here.
Solution 3:
Please note the fact that: n&(n-1) always eliminates the least significant 1.
Hence we can write the code for calculating the number of 1's as follows:
count=0;
while(n!=0){
n = n&(n-1);
count++;
}
cout<<"Number of 1's in n is: "<<count;
The complexity of the program would be: number of 1's in n (which is constantly < 32).
Solution 4:
I saw the following solution from another website:
int count_one(int x){
x = (x & (0x55555555)) + ((x >> 1) & (0x55555555));
x = (x & (0x33333333)) + ((x >> 2) & (0x33333333));
x = (x & (0x0f0f0f0f)) + ((x >> 4) & (0x0f0f0f0f));
x = (x & (0x00ff00ff)) + ((x >> 8) & (0x00ff00ff));
x = (x & (0x0000ffff)) + ((x >> 16) & (0x0000ffff));
return x;
}
Solution 5:
public static void main(String[] args) {
int a = 3;
int orig = a;
int count = 0;
while(a>0)
{
a = a >> 1 << 1;
if(orig-a==1)
count++;
orig = a >> 1;
a = orig;
}
System.out.println("Number of 1s are: "+count);
}