LeetCode 136. Single Number 自我反思

Given a non-empty array of integers, every element appears twice except for one. Find that single one.

Note:

Your algorithm should have a linear runtime complexity. Could you implement it without using extra memory?

Example 1:

Input: [2,2,1]
Output: 1

Example 2:

Input: [4,1,2,1,2]
Output: 4

这一题很有意思,做应该是会做,但是用unordered_set 做的话,虽然是线性时间,但也是很慢。看了题解之后,才明白了数学的美妙之处。还要多积累知识,多发散思维。

Approach : Bit Manipulation

Concept

  • If we take XOR of zero and some bit, it will return that bit
    • a \oplus 0 = aa0=a
  • If we take XOR of two same bits, it will return 0
    • a \oplus a = 0aa=0
  • a \oplus b \oplus a = (a \oplus a) \oplus b = 0 \oplus b = baba=(aa)b=0b=b

So we can XOR all bits together to find the unique number.

Complexity Analysis

  • Time complexity : O(n)O(n). We only iterate through \text{nums}nums, so the time complexity is the number of elements in \text{nums}nums.

  • Space complexity : O(1)O(1).

class Solution {
public:
    int singleNumber(vector<int>& nums) {
        int a = 0;
        for(auto num: nums)
            a ^= num;
        return a;
    }
};


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转载自blog.csdn.net/tzy3013218117/article/details/80873036