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Completed both the problems - #1999

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Completed both the problems#1999
lakshmidurgat wants to merge 2 commits into
super30admin:masterfrom
lakshmidurgat:master

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Product of Array Except Self (product of array except self.java)

Strengths:

  • Excellent solution! You've implemented the optimal O(n) time, O(1) extra space approach.
  • The two-pass technique (prefix products, then suffix products) is the standard optimal solution.
  • The code correctly handles edge cases including zeros in the input.
  • Good use of a single array that gets reused for both prefix and final result.

Areas for Improvement:

  • Variable naming: lp and rp are cryptic. Consider prefix and suffixProduct or leftProduct and rightProduct for better readability.
  • Adding brief comments explaining the two-pass approach would help future readers understand the algorithm.
  • The variable name rp is reused for two different purposes (tracking prefix product in first loop, then suffix product in second loop), which can be confusing.

Overall: This is a high-quality solution that demonstrates strong algorithmic thinking. The implementation is correct and optimal.

VERDICT: PASS


Diagonal Traverse (diagonal traverse.java)

Excellent work! Your solution is a clean and correct implementation of the diagonal traversal algorithm. Here are some observations:

Strengths:

  • Your solution correctly implements the optimal O(m*n) time complexity approach
  • The logic for direction changes and boundary handling is accurate
  • The code is well-organized and readable
  • The auxiliary space complexity is O(1), which is optimal
  • The comment // moves up adds clarity to the boolean variable's meaning

Minor suggestions for improvement:

  • Consider adding more comments to explain the boundary conditions, especially why c == n-1 takes priority over r == 0 (or vice versa) in the direction change logic
  • The variable name dir could be more descriptive, like goingUp or movingUpRight
  • For very large matrices, you could consider using StringBuilder or similar for any string operations, though this isn't relevant here since you're returning an int array
  • Adding a brief explanation at the top of the method describing the algorithm approach would be helpful for future readers

Overall, this is a high-quality solution that demonstrates a strong understanding of the problem and the optimal algorithm.

VERDICT: PASS


Spiral Matrix (spiral matrix.java)

It appears that your submission is incomplete - you have only provided a file name without any actual code implementation. To successfully solve this problem, you need to:

  1. Implement the spiral traversal logic: The most common approach is to use boundary tracking with four variables (top, bottom, left, right) that shrink as you traverse each direction.

  2. Handle the four directions:

    • Move right along the top row, then increment top
    • Move down along the right column, then decrement right
    • Move left along the bottom row (if still valid), then decrement bottom
    • Move up along the left column (if still valid), then increment left
  3. Important edge cases to consider:

    • Single row matrices
    • Single column matrices
    • Rectangular (non-square) matrices
  4. Suggested approach (similar to reference):

class Solution {
    public List<Integer> spiralOrder(int[][] matrix) {
        int m = matrix.length;
        int n = matrix[0].length;
        int top = 0, bottom = m - 1, left = 0, right = n - 1;
        List<Integer> result = new ArrayList<>();
        
        while (top <= bottom && left <= right) {
            // Traverse right
            for (int i = left; i <= right; i++) {
                result.add(matrix[top][i]);
            }
            top++;
            
            // Traverse down
            for (int i = top; i <= bottom; i++) {
                result.add(matrix[i][right]);
            }
            right--;
            
            // Traverse left
            if (top <= bottom) {
                for (int i = right; i >= left; i--) {
                    result.add(matrix[bottom][i]);
                }
                bottom--;
            }
            
            // Traverse up
            if (left <= right) {
                for (int i = bottom; i >= top; i--) {
                    result.add(matrix[i][left]);
                }
                left++;
            }
        }
        
        return result;
    }
}

Please submit a complete solution with actual code implementation.

VERDICT: NEEDS_IMPROVEMENT

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2 participants