Completed Backtracking-1

[abrarrmohd]

No description provided.

[super30admin]

1. Correctness:

   • For combinationSum.py, the solution correctly implements a backtracking approach to find all combinations of candidates that sum to the target. It handles duplicates and ensures each combination is unique.
   • For expressionAddOperators.py, the solution attempts to handle the problem of adding operators to form expressions that evaluate to the target. However, there are issues with the multiplication logic (newVal calculation seems incorrect) and the handling of leading zeros could be more robust.

2. Time Complexity:

   • For combinationSum.py, the time complexity is correctly noted as O(2^(target + n)), which is accurate for this backtracking approach.
   • For expressionAddOperators.py, the time complexity is noted as O(3^n * n), which is correct for the worst-case scenario where each digit can be followed by one of three operators.

3. Space Complexity:

   • For combinationSum.py, the space complexity is correctly noted as O(target) due to the recursion stack.
   • For expressionAddOperators.py, the space complexity is noted as O(n), which is correct for the recursion stack, but additional space is used for storing the path and results.

4. Code Quality:

   • The code is generally well-structured and readable. Comments and docstrings are present, which is good practice.
   • In expressionAddOperators.py, the logic for multiplication is confusing and could be simplified. The variable names like newVal and prevVal could be more descriptive.
   • Edge cases like leading zeros are handled, but the implementation could be clearer.

5. Efficiency:

   • For combinationSum.py, the solution is efficient and follows standard backtracking practices.
   • For expressionAddOperators.py, the solution could be optimized by avoiding redundant calculations and simplifying the multiplication logic. The handling of leading zeros could also be streamlined.