Classic problem but I still fumbled the boundary conditions a bit.
Clarify the problem and edge cases, then propose a layer-by-layer traversal using four boundaries (top, bottom, left, right). Walk through the algorithm with a small example, analyze time and space complexity, and discuss potential optimizations or alternative approaches.
Pro tip: Mention that you would test with edge cases like empty matrix, single row/column, and non-square matrices, and discuss how to handle them gracefully. This shows attention to detail and robustness.
Ask clarifying questions: Is the matrix guaranteed non-empty? What are the constraints on m and n? Should the output be a list or array? Confirm the expected order (clockwise spiral starting from top-left).
Propose a boundary-based simulation: maintain four pointers (top, bottom, left, right) and traverse the matrix in spiral order by moving along the top row, right column, bottom row, and left column, then shrinking the boundaries.
Trace the algorithm on a small example (e.g., 3x3 matrix) to demonstrate correctness and show how boundaries are updated after each direction.
State that time complexity is O(m*n) since each element is visited once, and space complexity is O(1) extra space (excluding the output array).
Mention edge cases: empty matrix, single row, single column, and how the algorithm handles them. Suggest writing unit tests for these cases.
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