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Complete Backtracking-2#1255

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Complete Backtracking-2#1255
PrakarshKamal wants to merge 1 commit intosuper30admin:masterfrom
PrakarshKamal:master

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@PrakarshKamal
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Subsets (Subsets.java)

Your solution is excellent! It correctly generates all subsets using a backtracking approach. Here are some strengths and areas for improvement:

Strengths:

  • Correctness: Your solution produces the correct output for all cases.
  • Time Complexity: You achieved the optimal O(n * 2^n) time complexity.
  • Space Efficiency: By using backtracking with a single list and removing the last element after the recursive call for inclusion, you avoid creating multiple copies of the path list during recursion. This reduces the auxiliary space to O(n) for the recursion stack and the path list, which is efficient.
  • Code Clarity: Your code is clean, well-commented, and easy to understand. The use of meaningful variable names (like idx, path, ans) enhances readability.

Areas for Improvement:

  • There are no major issues. However, note that the recursion stack depth is O(n), which is acceptable given the constraints (n <= 10). For larger inputs, iterative methods might be considered, but for this problem, recursion is perfectly fine.
  • You might consider adding a comment explaining why you are creating a new ArrayList when adding to ans (to avoid reference issues), but this is a minor point.

Overall, your solution is efficient, correct, and well-written. Keep up the good work!

VERDICT: PASS


Palindrome Partitioning (PalindromePartitioning.java)

Your solution is excellent! It correctly implements the backtracking approach and handles the problem efficiently. Here are some strengths and suggestions:

Strengths:

  • Clear and readable code with good variable names.
  • Proper use of backtracking: adding the substring, recursing, and then removing.
  • Efficient palindrome check with two pointers.

Areas for Improvement:

  • Although not necessary for the constraints, you could consider optimizing by precomputing a DP table for palindrome checks. This would avoid recalculating the same substring repeatedly. For example, you can create a 2D boolean array dp[i][j] which indicates if the substring from index i to j is a palindrome. This can be filled in O(n^2) time and then used in the backtracking to check in O(1) time.
  • In Java, the substring method creates a new string, which has O(n) time and space. You could avoid this by passing indices instead of creating substrings, and only create the substring when adding to the path. However, this might complicate the code slightly, and for n<=16 it is acceptable.

Overall, your solution is correct and efficient. Well done!

VERDICT: PASS

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