Diagonal Difference

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    C++ int diagonalDifference(vector> arr) {

    int n = (int)arr.size(); long long primary = 0, secondary = 0;

    for(int i=0;i

    return (int)llabs(primary-secondary); }

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    function diagonalDifference(arr) {
        let res = 0;
        for(let i = 0; i < arr.length; i++){
            res += arr[i][i] - arr[i][arr.length - 1 - i]
        }
        return Math.abs(res)
    }
    
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    int diagonalDifference(vector<vector<int>> arr) {
    int firstDiagSum = 0, secondDiagSum = 0, rowReverse = arr.size()-1;
    
    for (int i=0; i < arr.size(); i++, rowReverse--) {
        firstDiagSum += arr[i][i];
        secondDiagSum += arr[i][rowReverse];
    }
    return abs(firstDiagSum-secondDiagSum);
    }
    
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    Door Handles introduces the concept of diagonal difference, a useful calculation in mathematics and data analysis. It involves finding the difference between the sums of a matrix’s two main diagonals, providing insights into patterns and structural properties. Commonly applied in problem-solving and coding challenges, understanding diagonal difference enhances analytical skills. Accurate computation requires careful attention to indexing and summation. Mastering this concept helps simplify complex data structures and supports logical reasoning in various applications.

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    public static int diagonalDifference(List<List<int>> arr)
    {
        int primDiagonal =0;
        int secondDiagonal = 0;
        for(int i=0;i<arr.Count;i++){
            for(int j =0;j<arr[i].Count;j++){
                if(i==j){
                    primDiagonal+= arr[i][j];
                }
                if(j==arr.Count-1-i){
                   secondDiagonal+= arr[i][j];
                }
            }          
        }
        return Math.Abs(primDiagonal-secondDiagonal);
    }