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  • Strengths:

    • The solutions are logically sound and correctly implement the required algorithms.
    • The code is well-commented, making it easy to understand the thought process behind each step.
    • The use of binary search in all problems demonstrates a good understanding of the algorithm.
  • Areas for Improvement:

    • For "Search in a 2D Matrix", consider treating the matrix as a single sorted array to achieve the optimal time complexity of O(log(m*n)). This would involve calculating the mid-point in terms of the total number of elements and then mapping it back to row and column indices.
    • Ensure consistent formatting throughout the code (e.g., spacing around operators and after commas) to improve readability.
    • Add more edge case tests to ensure robustness (e.g., empty matrix, single-element matrix, target not present, etc.).

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