(leetcode) 338. Counting Bits

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Given a non negative integer number num. For every numbers i in the range 0 ≤ i ≤ num calculate the number of 1's in their binary representation and return them as an array.

Example:
For num = 5 you should return [0,1,1,2,1,2].

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.


    思路:后面的结果充分利用前面的结果,i的1的个数可以这样计算,将i右移一位,如果判断i被移掉的那一位是不是1,所以nums[i]=nums[i>>1]+i&1;根据上面这个递推式,就能ac了,时间复杂度是o(n),空间复杂度是0
    代码如下(已通过leetcode)
    public class Solution {
       public int[] countBits(int num) {
        int[] res=new int[num+1];
        res[0]=0;
        for(int i=1;i<=num;i++) 
        res[i]=res[i>>1]+(i&1);
        return res;
       }
    }
    0 0
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