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Which algorithmic approach best guarantees finding all unique combinations without duplicates efficiently?

easy🔍 Pattern Recognition Q11 of Q15
Subsets & Combinations - Combination Sum II (No Reuse, Duplicates)
You are given a list of candidate numbers (which may contain duplicates) and a target sum. You need to find all unique combinations where each candidate number is used at most once and the sum of the combination equals the target. Which algorithmic approach best guarantees finding all unique combinations without duplicates efficiently?
ABacktracking with sorting candidates, skipping duplicates at the same recursion level, and pruning branches when the candidate exceeds the remaining target
BGreedy algorithm that picks the largest candidates first until the target is met or exceeded
CDynamic programming subset-sum approach without handling duplicates explicitly
DBrute force recursion without sorting or duplicate checks, exploring all subsets
Step-by-Step Solution
  1. Step 1: Understand problem constraints

    The problem requires unique combinations without reuse and no duplicate results, so duplicates must be handled carefully.
  2. Step 2: Identify suitable algorithm

    Backtracking with sorting and skipping duplicates at the same recursion level ensures no repeated combinations. Early pruning avoids unnecessary recursion when candidates exceed the target.
  3. Final Answer:

    Option A -> Option A
  4. Quick Check:

    Sorting + duplicate skipping + pruning is the standard approach [OK]
Quick Trick: Sorting and skipping duplicates avoids repeated combinations [OK]
Common Mistakes:
MISTAKES
  • Using greedy misses some combinations
  • DP without duplicate handling outputs duplicates
  • Brute force is correct but inefficient and duplicates appear
Trap Explanation:
PITFALL
  • DP or brute force may seem correct but fail to handle duplicates properly or are inefficient.
Interviewer Note:
CONTEXT
  • Tests if candidate recognizes the need for sorting and duplicate skipping in backtracking.
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