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If the problem is generalized to find k missing numbers from 1 to n where k > 2, which statement about the XOR partitioning approach is true?

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Bit Manipulation - Find Two Missing Numbers
If the problem is generalized to find k missing numbers from 1 to n where k > 2, which statement about the XOR partitioning approach is true?
AXOR partitioning requires sorting the array first for k > 2
BXOR partitioning works the same way regardless of how many numbers are missing
CXOR partitioning can find k missing numbers in O(k) time
DXOR partitioning cannot be directly extended to find more than two missing numbers efficiently
Step-by-Step Solution
Solution:
  1. Step 1: Understand XOR partitioning for two missing numbers

    It relies on XOR of two numbers and partitioning by a set bit.
  2. Step 2: For k > 2 missing numbers

    The XOR of k missing numbers does not allow simple partitioning to isolate each missing number.
  3. Step 3: Conclusion

    Direct extension is not efficient; other methods like hashing or sum formulas are preferred.
  4. Final Answer:

    Option D -> Option D
  5. Quick Check:

    XOR works well only for two missing numbers [OK]
Quick Trick: XOR partitioning limited to two missing numbers [OK]
Common Mistakes:
MISTAKES
  • Assuming XOR scales linearly with k
  • Thinking sorting is required for XOR
  • Confusing XOR with sum-based methods
Trap Explanation:
PITFALL
  • XOR partitioning seems general but only works cleanly for two missing numbers
Interviewer Note:
CONTEXT
  • Tests understanding of limitations of XOR partitioning approach
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