LeetCode268 - Missing Number


https://leetcode.com/articles/missing-number/
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?
Other solution: convert index(whose value is a[i]) to negative.
X. Using XOR
    int missingNumber(vector<int>& nums) {
        int size = nums.size();
        
        int res = 0;
        
        for(int i=0; i < size + 1; i++) {
            res ^= i;
        }
        
        for(int i=0; i < size; i++) {
            res ^= nums[i];
        }
        
        return res;
    }
X.
public:
    int missingNumber(vector<int>& nums) {
        int n = (1+nums.size())*nums.size()/2;
        for (int i = 0; i < nums.size(); i++) {
            n -= nums[i];
        }
        return n;
    }
http://www.neozone.me/leetcode268.html
已知一个数组包含了0到n的所有整数,除了一个数不在里面。求这个缺失的数。
如果不缺这个数,根据等差数列求和公式,所有的数加起来应该等于(1 + n) * n / 2。但是现在少了某个数x,此时求和的结果应该比(1 + n) * n / 2正好少x。
注意,当n很大的时候直接计算(1 + n) * n / 2会导致溢出,因此我们采用一边加一边减的方式。
    public int missingNumber(int[] nums) {
        int temp = nums.length;
        for(int i = 0; i < nums.length; i++){
            temp = temp + i - nums[i];
        }
        return temp;
    }
X. http://blog.csdn.net/xudli/article/details/48286379
把nums[i]放到i的位置上.  nums[i] != i的即为missing number.

  1.     public int missingNumber(int[] nums) {  
  2.         int i=0;  
  3.           
  4.         while(i<nums.length) {  
  5.             int x = nums[i];  
  6.             if(x>=nums.length) {++i; continue;}  
  7.             if(x!=i) swap(nums, i, x);  
  8.             else i++;  
  9.         }  
  10.   
  11.         for(int j=0; j<nums.length; j++) {  
  12.             if(j != nums[j]) return j;  
  13.         }  
  14.           
  15.         return nums.length;  
  16.     }  
  17.       
  18.     private void swap(int[] nums, int i, int j) {  
  19.         int temp = nums[i];  
  20.         nums[i] = nums[j];  
  21.         nums[j] = temp;  
  22.     }  

  public int missingNumber(int[] nums) {
    int expectedSum = nums.length * (nums.length + 1) / 2;
    int actualSum = 0;
    for (int num : nums)
      actualSum += num;
    return expectedSum - actualSum;

  }
http://shibaili.blogspot.com/2015/08/day-121-264-ugly-number-ii.html
    int missingNumber(vector<int>& nums) {
        for (int i = 0; i < nums.size(); i++) {
            int target = nums[i];
            while (target >= 0 && target < nums.size() && nums[target] != target) {
                swap(nums[i],nums[target]);
                target = nums[i];
            }
        }
         
        for (int i = 0; i < nums.size(); i++) {
            if (i != nums[i]) return i;
        }
        return nums.size();
    }
  public int missingNumber(int[] nums) {
    int missing = nums.length;
    for (int i = 0; i < nums.length; i++) {
      missing ^= i ^ nums[i];
    }
    return missing;

  }

X.
  public int missingNumber(int[] nums) {
    Set<Integer> numSet = new HashSet<Integer>();
    for (int num : nums)
      numSet.add(num);

    int expectedNumCount = nums.length + 1;
    for (int number = 0; number < expectedNumCount; number++) {
      if (!numSet.contains(number)) {
        return number;
      }
    }
    return -1;

  }
X. Sorting
  public int missingNumber(int[] nums) {
    Arrays.sort(nums);

    // Ensure that n is at the last index
    if (nums[nums.length - 1] != nums.length) {
      return nums.length;
    }
    // Ensure that 0 is at the first index
    else if (nums[0] != 0) {
      return 0;
    }

    // If we get here, then the missing number is on the range (0, n)
    for (int i = 1; i < nums.length; i++) {
      int expectedNum = nums[i - 1] + 1;
      if (nums[i] != expectedNum) {
        return expectedNum;
      }
    }

    // Array was not missing any numbers
    return -1;

  }

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