Finding the Frobenius Norm of a given matrix

Given an M * N matrix, the task is to find the Frobenius Norm of the matrix. The Frobenius Norm of a matrix is defined as the square root of the sum of the squares of the elements of the matrix.
Example: 
 

Input: mat[][] = {{1, 2}, {3, 4}} 
Output: 5.47723 
sqrt(1² + 2² + 3² + 4²) = sqrt(30) = 5.47723
Input: mat[][] = {{1, 4, 6}, {7, 9, 10}} 
Output: 16.8226 
 

Approach: Find the sum of squares of the elements of the matrix and then print the square root of the calculated value.
Below is the implementation of the above approach: 
 

5.47723

Time Complexity: O(M*N)

Auxiliary Space: O(1)