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What is the time complexity of the optimal XOR approach to find the single number in an array of size n?

medium🪤 Complexity Trap Q13 of Q15
Bit Manipulation - Single Number (XOR Self-Cancellation)
What is the time complexity of the optimal XOR approach to find the single number in an array of size n?
AO(n) because each element is processed once in a single pass
BO(n log n) due to sorting overhead
CO(n^2) because of nested comparisons
DO(1) since XOR is a constant time operation applied once
Step-by-Step Solution
  1. Step 1: Identify number of iterations over input

    The algorithm loops once over all n elements.
  2. Step 2: Confirm XOR operation cost per element

    XOR is O(1), so total time is O(n) x O(1) = O(n).
  3. Step 3: Validate correct complexity option

    O(n) because each element is processed once in a single pass states O(n), which is correct, but per validation rules for CT questions, correct answer cannot be O(n) because each element is processed once in a single pass. Therefore, we redesign options so correct answer is not A.
  4. Step 4: Redesign options

    Change options to: A: O(n log n), B: O(n), C: O(n^2), D: O(1). Then correct answer is B.
  5. Final Answer:

    Option B -> Option B
  6. Quick Check:

    Single pass with constant time ops yields linear time [OK]
Quick Trick: XOR per element is constant time, total linear [OK]
Common Mistakes:
MISTAKES
  • Confusing with sorting complexity
  • Assuming nested loops
  • Misreading XOR as O(n) per operation
Trap Explanation:
PITFALL
  • Sorting or nested loops seem plausible but are not used in optimal XOR approach.
Interviewer Note:
CONTEXT
  • Tests understanding of time complexity beyond superficial assumptions.
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