# Count trailing zeroes in factorial of a number in C++

In this tutorial, we are going to discuss one of the most important asked interview problems which is called **Count trailing zeroes in factorial of a number in C++**. Trailing zeroes are those zeroes which occur in the ending of a number.

For example:

- Number = 720 has a total of 1 trailing zero.
- Number = 13,07,67,43,68,000 has a total of 3 trailing zero.

This problem can be solved by remembering the following formula,

Trailing zeroes in n! = Count of 5 in prime factors of n!

= floor(n/5) + floor(n/25) + floor(n/125) + so on….

For example:

For n=6

Factorial of 6 is 720 which has a total number of trailing zero = 1.

For n=15

Factorial of 15 is 13,07,67,43,68,000â€¬ which has total number of trailing zero = 3.

Let us implement the above-mentioned formula in our code.

## Code to Count trailing zeroes in factorial of a number in C++

Cpp source code:

// Code to count trailing zeroes in a factorial #include<bits/stdc++.h> using namespace std; int main() { int n; cout<<"Enter the number: "; cin>>n; // Initializing count to zero if(n<=4) { cout<< "\nTotal number of trailing 0s in factorial of " <<n << " is 0"; } else { int count = 0; for (int i=5; n/i>=1; i*=5) { count += n/i; } cout<< "\nTotal number of trailing 0s in factorial of " <<n << " is "<< count; } return 0; }

**Input/Output:**

Enter the number: 15 Total number of trailing 0s in factorial of 15 is 3

#### Explanation:

In our code, we are iterating loop in the power of 5, if the power of 5 becomes greater than the number then the loop is terminated and we get our required answer. In every iteration, we are updating count according to the value of n/i.

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Breadth first search (BFS) and Depth first search (DFS) for a Graph in C++

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