Diagonal difference HackerRank solution

published on 28 May 2024

The diagonal difference problem is a common exercise in coding, often used in practice for learning array manipulation and basic math operations. The challenge involves a square matrix of numbers and requires calculating the absolute difference between the sums of its diagonals.

In this post, we will demonstrate how our tool, HackerRankGPT, can give you the diagonal difference hackerrank solution, and help you succeed in your HackerRank coding interview.

HackerRankGPT, powered by GPT-4, provides real-time, undetectable support for solving coding problems during your HackerRank interviews 👈

Here is the Diagonal difference hackerrank problem and solution using HackerRankGPT:

Diagonal difference hackerrank problem
Diagonal difference hackerrank problem

Diagonal difference hackerrank solution:

def diagonalDifference(arr):
    n = len(arr)  # Get the size of the matrix
    main_diagonal_sum = 0
    secondary_diagonal_sum = 0
    
    for i in range(n):
        main_diagonal_sum += arr[i][i]
        secondary_diagonal_sum += arr[i][n-1-i]
    
    # Calculate the absolute difference between the two sums
    return abs(main_diagonal_sum - secondary_diagonal_sum)


To solve the "Diagonal Difference" problem using Python, you can follow this approach:

  1. Define a function diagonalDifference that takes a square matrix arr as input.
  2. Initialize two variables to store the sums of the main diagonal and the secondary diagonal.
  3. Loop through the matrix, and for each index i, add arr[i][i] to the main diagonal sum and arr[i][n-1-i] to the secondary diagonal sum (where n is the size of the matrix).
  4. Calculate the absolute difference between the two sums and return it.

When we use this code, we pass all HackerRank tests:

Diagonal difference hackerrank solution by HackerRankGPT
Diagonal difference hackerrank solution by HackerRankGPT

If you have a HackerRank coding test soon, you can use HackerRankGPT to your advantage. It will undetectably assist you during your interview and help ensure you get the job.

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