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sangeeths29
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  1. Correctness:

    • Problem 1 (Search a 2D Matrix): The solution correctly implements binary search on a flattened 2D matrix, treating it as a 1D array. It handles edge cases like empty matrix properly.
    • Problem 2 (Search in Rotated Sorted Array): The solution correctly handles the rotated sorted array scenario by first determining which half is sorted and then narrowing down the search space accordingly.
    • Problem 3 (Search in a Sorted Array of Unknown Size): The solution efficiently finds the search bounds by doubling the high index until the target is within range, then performs binary search.
  2. Time Complexity:

    • Problem 1: O(log(m*n)) where m is rows and n is columns - optimal for this problem.
    • Problem 2: O(log n) - standard binary search complexity.
    • Problem 3: O(log n) - first part to find bounds is O(log n) and second part is O(log n) for binary search.
  3. Space Complexity:

    • All problems: O(1) - using constant extra space, which is optimal.
  4. Code Quality:

    • Good variable naming and consistent style.
    • Proper handling of edge cases (empty inputs).
    • The commented-out code in Problem 1 should be removed to maintain cleanliness.
    • Could benefit from brief comments explaining the approach for each problem.
  5. Efficiency:

    • All solutions are optimally efficient.
    • No unnecessary operations or variables.
    • The bounds checking in Problem 3 is particularly well-implemented.

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