You are given a list of n-1 integers and these integers are in the range of 1 to n. There are no duplicates in the list. One of the integers is missing in the list. Write an efficient code to find the missing integer.
Example:
Input: arr[] = {1, 2, 4, 6, 3, 7, 8} Output: 5 Explanation: The missing number from 1 to 8 is 5 Input: arr[] = {1, 2, 3, 5} Output: 4 Explanation: The missing number from 1 to 5 is 4.
Method 1: This method uses the technique of the summation formula.
- Approach: The length of the array is n-1. So the sum of all n elements, i.e sum of numbers from 1 to n can be calculated using the formula n(n+1)/2*. Now find the sum of all the elements in the array and subtract it from the sum of first n natural numbers, it will be the value of the missing element.
-
Algorithm:
- Calculate the sum of first n natural numbers as sumtotal= n(n+1)/2*
- Create a variable sum to store the sum of array elements.
- Traverse the array from start to end.
- Update the value of sum as sum = sum + array[i]
- Print the missing number as sumtotal – sum
- Implementation:
#include <bits/stdc++.h>
using namespace std;
// Function to get the missing number
int getMissingNo( int a[], int n)
{
int total = (n + 1) * (n + 2) / 2;
for ( int i = 0; i < n; i++)
total -= a[i];
return total;
}
// Driver Code
int main()
{
int arr[] = { 1, 2, 4, 5, 6 };
int n = sizeof (arr) / sizeof (arr[0]);
int miss = getMissingNo(arr, n);
cout << miss;
}
Output
3
-
Complexity Analysis:
-
Time Complexity: O(n).
Only one traversal of the array is needed. -
Space Complexity: O(1).
No extra space is needed
-
Time Complexity: O(n).
Modification for Overflow
- Approach: The approach remains the same but there can be overflow if n is large. In order to avoid integer overflow, pick one number from known numbers and subtract one number from given numbers. This way there won’t have Integer Overflow ever.
-
Algorithm:
- Create a variable sum = 1 which will store the missing number and a counter variable c = 2.
- Traverse the array from start to end.
- Update the value of sum as sum = sum – array[i] + c and update c as c++.
- Print the missing number as a sum.
#include <bits/stdc++.h>
using namespace std;
// a represents the array
// n : Number of elements in array a
int getMissingNo( int a[], int n)
{
int i, total=1;
for ( i = 2; i<= (n+1); i++)
{
total+=i;
total -= a[i-2];
}
return total;
}
//Driver Program
int main() {
int arr[] = {1, 2, 3, 5};
cout<<getMissingNo(arr, sizeof (arr)/ sizeof (arr[0]));
return 0;
}
Output:
4
-
Complexity Analysis:
-
Time Complexity: O(n).
Only one traversal of the array is needed. - **Space Complexity:**O(1).
No extra space is needed
-
Time Complexity: O(n).
Method 2: This method uses the technique of XOR to solve the problem.
-
Approach:
XOR has certain properties- Assume a1 ^ a2 ^ a3 ^ …^ an = a and a1 ^ a2 ^ a3 ^ …^ an-1 = b
- Then a ^ b = an
-
Algorithm:
- Create two variables a = 0 and b = 0
- Run a loop from 1 to n with i as counter.
- For every index update a as a = a ^ i
- Now traverse the array from start to end.
- For every index update b as b = b ^ array[i]
- Print the missing number as a ^ b.
- Implementation:
#include <bits/stdc++.h>
using namespace std;
// Function to get the missing number
int getMissingNo( int a[], int n)
{
// For xor of all the elements in array
int x1 = a[0];
// For xor of all the elements from 1 to n+1
int x2 = 1;
for ( int i = 1; i < n; i++)
x1 = x1 ^ a[i];
for ( int i = 2; i <= n + 1; i++)
x2 = x2 ^ i;
return (x1 ^ x2);
}
// Driver Code
int main()
{
int arr[] = { 1, 2, 4, 5, 6 };
int n = sizeof (arr) / sizeof (arr[0]);
int miss = getMissingNo(arr, n);
cout << miss;
}
Output:
3
-
Complexity Analysis:
-
Time Complexity: O(n).
Only one traversal of the array is needed. -
Space Complexity: O(1).
No extra space is needed.
-
Time Complexity: O(n).
Method 3: This method will work only in python.
Approach:
Take the sum of all elements in the array and subtract that from the sum of n+1 elements. For Eg:
If my elements are li=[1,2,4,5] then take the sum of all elements in li and subtract that from the sum of len(li)+1 elements. The following code shows the demonstration.
// C++ program to find
// the mising Number
#include<bits/stdc++.h>
using namespace std;
// getMissingNo takes list
// as argument
int getMissingNo( int a[] ,
int n)
{
int n_elements_sum = n * (n + 1) / 2 ;
int sum = 0;
for ( int i = 0; i < n - 1; i++)
sum += a[i];
return n_elements_sum-sum;
}
// Driver code
int main()
{
int a[] = {1, 2, 4, 5, 6};
int n = sizeof (a) /
sizeof (a[0]) + 1;
int miss = getMissingNo(a, n);
cout << (miss);
return 0;
}
Output:
3
Time Complexity: O(n)
Auxiliary Space: O(1)