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What is the time complexity of the optimal XOR and partition approach to find two unique numbers in an array of size n?

medium🪤 Complexity Trap Q13 of Q15
Bit Manipulation - Single Number III (Two Singles)
What is the time complexity of the optimal XOR and partition approach to find two unique numbers in an array of size n?
AO(n log n) due to sorting step
BO(n) because it traverses the array a constant number of times
CO(n^2) because of nested loops in partitioning
DO(n) but uses O(n) extra space for partitions
Step-by-Step Solution
  1. Step 1: Identify loops in the algorithm

    The algorithm traverses the array twice: once to XOR all elements, once to partition and XOR groups.
  2. Step 2: Analyze time and space complexity

    Each traversal is O(n), no nested loops. Space used is constant (variables only), no extra arrays.
  3. Final Answer:

    Option B -> Option B
  4. Quick Check:

    Two linear passes, constant space [OK]
Quick Trick: Two passes over array -> O(n) time, O(1) space [OK]
Common Mistakes:
MISTAKES
  • Confusing with sorting complexity
  • Assuming nested loops in partition
  • Forgetting constant space usage
Trap Explanation:
PITFALL
  • Sorting or nested loops seem plausible but are not part of the optimal approach.
Interviewer Note:
CONTEXT
  • Checks if candidate understands linear time and constant space of XOR partitioning.
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