题目:
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
看到大部分解法都是根据二进制直接推的,我做的时候因为当时在学习dp相关,所以一下子 直接按dp来做的,相当于2的n-1次到2的n次做递归循环,状态转移方程比较容易做出来,不过感觉还是直接二进制来做更符合这道题的本质。下面是我的代码:
public class Solution { public int[] countBits(int num) { int[] a = new int[num+1]; int y =0; if(num == 0){ a[0] = 0; }else if(num == 1){ a[0] = 0; a[1] = 1; }else{ a[0] = 0; a[1] = 1; int T = 2; for(int i =2;i <= num;i++){ if(i == T){ T = T * 2; y = 0; } a[i] = a[y] + 1; y++; } } return a; } }