Completed Subsets and Palindrome Partitioning

[kkhevna9252]

No description provided.

[super30admin]

Strengths:

• The solution correctly implements the backtracking approach for generating subsets.
• The code is clean and well-commented.
• The use of backtracking (with add and remove) is efficient in terms of space because it avoids creating multiple copies of the path until necessary (when adding to result).

Areas for improvement:

• The solution uses path.toList() when adding to the result, which creates a new copy. This is necessary to avoid mutation issues, so it is correct. However, note that this operation takes O(n) time per subset.
• The reference solution provided in C++ does not use backtracking but creates a new list for the "choose" branch. Your approach is actually more space-efficient during the recursion because you reuse the same path list. However, the reference solution might be easier to understand for some because it doesn't require explicit backtracking steps. But your approach is standard for backtracking in Kotlin/Java.
• There is a minor inconsistency: the function parameter is named i in the helper function, which is clear, but in the recursive calls you use i + 1 and i+1 (without space). It's better to be consistent with spacing for readability.

Overall, the solution is correct and efficient.