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C++ Program to Find the smallest missing number

Given a sorted array of n distinct integers where each integer is in the range from 0 to m-1 and m > n. Find the smallest number that is missing from the array. 

Examples 



Input: {0, 1, 2, 6, 9}, n = 5, m = 10 
Output: 3

Input: {4, 5, 10, 11}, n = 4, m = 12 
Output: 0

Input: {0, 1, 2, 3}, n = 4, m = 5 
Output: 4

Input: {0, 1, 2, 3, 4, 5, 6, 7, 10}, n = 9, m = 11 
Output: 8

Thanks to Ravichandra for suggesting following two methods.

Method 1 (Use Binary Search) 
For i = 0 to m-1, do binary search for i in the array. If i is not present in the array then return i.
Time Complexity: O(m log n) 



Method 2 (Linear Search
If arr[0] is not 0, return 0. Otherwise traverse the input array starting from index 0, and for each pair of elements a[i] and a[i+1], find the difference between them. if the difference is greater than 1 then a[i]+1 is the missing number. 
Time Complexity: O(n)

Method 3 (Use Modified Binary Search) 
Thanks to yasein and Jams for suggesting this method. 
In the standard Binary Search process, the element to be searched is compared with the middle element and on the basis of comparison result, we decide whether to search is over or to go to left half or right half. 
In this method, we modify the standard Binary Search algorithm to compare the middle element with its index and make decision on the basis of this comparison.




// C++ program to find the smallest elements
// missing in a sorted array.
#include<bits/stdc++.h>
using namespace std;
 
int findFirstMissing(int array[],
                    int start, int end)
{
    if (start > end)
        return end + 1;
 
    if (start != array[start])
        return start;
 
    int mid = (start + end) / 2;
 
    // Left half has all elements
    // from 0 to mid
    if (array[mid] == mid)
        return findFirstMissing(array,
                            mid+1, end);
 
    return findFirstMissing(array, start, mid);
}
 
// Driver code
int main()
{
    int arr[] = {0, 1, 2, 3, 4, 5, 6, 7, 10};
    int n = sizeof(arr)/sizeof(arr[0]);
    cout << "Smallest missing element is " <<
        findFirstMissing(arr, 0, n-1) << endl;
}
 
// This code is contributed by
// Shivi_Aggarwal

Output
Smallest missing element is 8

Note: This method doesn’t work if there are duplicate elements in the array.
Time Complexity: O(logn)

Auxiliary Space: O(logn)

Another Method: The idea is to use Recursive Binary Search to find the smallest missing number. Below is the illustration with the help of steps:

Below is the implementation of the above approach:




//C++ program for the above approach
#include <bits/stdc++.h>
 
using namespace std;
 
// Program to find missing element
int findFirstMissing(vector<int> arr , int start ,
                        int  end,int first)
{
 
  if (start < end)
  {
    int mid = (start + end) / 2;
 
    /** Index matches with value
      at that index, means missing
      element cannot be upto that po*/
    if (arr[mid] != mid+first)
      return findFirstMissing(arr, start,
                                 mid , first);
    else
      return findFirstMissing(arr, mid + 1,
                                 end , first);
  }
  return start + first;
 
}
 
// Program to find Smallest
// Missing in Sorted Array
int findSmallestMissinginSortedArray(vector<int> arr)
{
   
  // Check if 0 is missing
  // in the array
  if(arr[0] != 0)
    return 0;
 
  // Check is all numbers 0 to n - 1
  // are present in array
  if(arr[arr.size() - 1] == arr.size() - 1)
    return arr.size();
 
  int first = arr[0];
 
  return findFirstMissing(arr, 0, arr.size() - 1, first);
}
 
 
// Driver program to test the above function
int main()
{
    vector<int> arr = {0, 1, 2, 3, 4, 5, 7};
    int n = arr.size();
 
    // Function Call
    cout<<"First Missing element is : "<<findSmallestMissinginSortedArray(arr);
}
 
// This code is contributed by mohit kumar 29.

Output
First Missing element is : 6

Time Complexity: O(Logn) 

Auxiliary Space: O(logn) where logn is the size of the recursive stack tree

Please refer complete article on Find the smallest missing number for more details!


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