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@sainathek1999
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@super30admin
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  • Strengths:

    • Excellent use of in-place techniques to optimize space complexity.
    • Clear and concise comments that explain the approach.
    • Optimal time complexity for all problems.
    • Good handling of edge cases (e.g., odd-length arrays in problem2.java).
  • Areas for Improvement:

    • In problem1.java, the comment could explicitly mention that the solution avoids using extra space by leveraging the input array itself.
    • In problem2.java, the initial setup for min and max could be slightly simplified by always comparing the first two elements and then adjusting the loop index accordingly, even for odd-length arrays.
    • In problem3.java, the comment could briefly mention the 8-directional neighbor check for clarity.

@super30admin
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Strengths:

  • The student demonstrates a strong understanding of efficient algorithms and in-place modifications.
  • The code is clean, well-commented, and follows best practices.
  • The solutions are optimized for both time and space complexity.

Areas for Improvement:

  • For problem1.java, while the solution is correct, it might be helpful to mention why the output list is not counted in space complexity (since it's required by the problem).
  • For problem2.java, the handling of odd-length arrays is correct, but a brief comment explaining why the initial setup differs for odd and even lengths could enhance clarity.
  • For problem3.java, the use of markers is well-implemented, but a comment explaining the choice of 2 and 3 as markers (why not other numbers) could be helpful for readability.

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2 participants