[leetcode-338-Counting Bits]

最新推荐文章于 2025-09-13 19:30:09 发布

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最新推荐文章于 2025-09-13 19:30:09 发布

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文章标签： c/c++ 开发工具

原文链接：http://www.cnblogs.com/hellowooorld/p/6877175.html

本文介绍了一种高效解决LeetCode计数二进制位问题的方法，使用动态规划和位运算技巧来减少时间复杂度，实现了线性时间内的求解。

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：

Question:
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.

Thinking:

We do not need check the input parameter, because the question has already mentioned that the number is non negative.
How we do this? The first idea come up with is find the pattern or rules for the result. Therefore, we can get following pattern

Index : 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

num : 0 1 1 2 1 2 2 3 1 2 2 3 2 3 3 4

Do you find the pattern?

Obviously, this is overlap sub problem, and we can come up the DP solution. For now, we need find the function to implement DP.

dp[0] = 0;

dp[1] = dp[0] + 1;

dp[2] = dp[0] + 1;

dp[3] = dp[1] +1;

dp[4] = dp[0] + 1;

dp[5] = dp[1] + 1;

dp[6] = dp[2] + 1;

dp[7] = dp[3] + 1;

dp[8] = dp[0] + 1;
...

This is the function we get, now we need find the other pattern for the function to get the general function. After we analyze the above function, we can get
dp[0] = 0;

dp[1] = dp[1-1] + 1;

dp[2] = dp[2-2] + 1;

dp[3] = dp[3-2] +1;

dp[4] = dp[4-4] + 1;

dp[5] = dp[5-4] + 1;

dp[6] = dp[6-4] + 1;

dp[7] = dp[7-4] + 1;

dp[8] = dp[8-8] + 1;
..

Obviously, we can find the pattern for above example, so now we get the general function

dp[index] = dp[index - offset] + 1;

Coding:

vector<int> countBits(int num)
     {
         vector<int> ret(num + 1, 0);
         ret[0] = 0;
         int offset = 1;
         for (int i = 1; i <= num;i++)
         {
             if (i == offset*2)
             {
                 offset *= 2;
             }
             ret[i] = ret[i - offset] + 1;
         }
         return ret;
     }

另外：

倒过来想，一个数 * 2 就是把它的二进制全部左移一位，也就是说 1的个数是相等的。

那么我们可以利用这个结论来做。

res[i /2] 然后看看最低位是否为1即可（上面*2一定是偶数，这边比如15和14除以2都是7，但是15时通过7左移一位并且+1得到，14则是直接左移）

所以res[i] = res[i >>1] + (i&1)

class Solution {
public:
    vector<int> countBits(int num) {
        vector<int> res = vector<int>(num+1,0);
        for(int i=1;i<=num;i++){
            res[i] = res[i >> 1] + (i & 1);
        }
        return res;
    }
};