Given an array containing n distinct numbers taken from 0, 1, 2, …, n, find the one that is missing from the array.
For example,
Given nums = [0, 1, 3] return 2.
Note:
Your algorithm should run in linear runtime complexity. Could you implement it using only constant extra space complexity?
Credits:
Special thanks to @jianchao.li.fighter for adding this problem and creating all test cases.
這道題目和其他題目不同的地方在於,所有的備選數是已知的。所以,切入點就在這。我的第一想法是,將數組中所有的數加起來得到sum1,然後求1,2,3。。。n的和,得到sunm2,然後用sum2-sum1,AP程式如下:
public class Solution { public int missingNumber(int[] nums) { if(nums==null||nums.length==0) return 0; int len=nums.length; if(len==1){ return nums[0]==0?1:0; } long sum=0; for(int i=0;i<len;i++){ sum+=nums[i]; } return (int)(((len)*(len+1))/2-sum); }}
AP之後去看了眼討論區,然後發現,還有更好的解法,切入點是相同的,但是用的不是求和的方法,而是採用了亦或的方式來做。AP程式如下:
public int missingNumber(int[] nums) { int sum = 0; for (int i = 0; i <= nums.length; ++i) sum ^= i; for (int i = 0; i < nums.length; ++i) sum ^= nums[i]; return sum;}