Follow up:
It is very easy to come up with a solution with run time O(n*sizeof(integer)). But can you do it in linear time O(n) /possibly in a single pass? Space complexity should be O(n).Can you do it like a boss? Do it without using any builtin function like __builtin_popcount in c++ or in any other language.
给定num,对于每个 0<= i <=num , 计算i的2进制中1的个数。
若对每个数,进行每位的判断,时间复杂度是O(n*logn)。
可以从每个数的最低位开始分析,观察到
1 10 11 100 101 110 111 1000 例如1001001 ,它的二进制1的个数等于100100 总二进制个数 + 1 。即循环地在每个数后面加0、1可得接下来的数字。 因此第i位就是第i/2位+(i%2)的值。 代码: class Solution { public: vector<int> countBits(int num) { vector<int>vec(num+1,0); vec[0]=0; for(int i = 1; i <= num; i++){ vec[i]=vec[i/2]+(i % 2); } return vec; } };