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Which algorithmic approach guarantees finding these two missing numbers in O(n) time and O(1) extra space?

easy🔍 Pattern Recognition Q11 of Q15
Bit Manipulation - Find Two Missing Numbers
You are given an array containing n-2 distinct integers from the range 1 to n. Exactly two numbers are missing from the array. Which algorithmic approach guarantees finding these two missing numbers in O(n) time and O(1) extra space?
AUse XOR partitioning to separate numbers based on a set bit and find missing numbers.
BUse a greedy approach to pick missing numbers by scanning the array once.
CUse dynamic programming to build a table of sums and identify missing numbers.
DUse a brute force nested loop to check all pairs of missing numbers.
Step-by-Step Solution
  1. Step 1: Understand problem constraints

    We have an array missing exactly two numbers from 1 to n, and need an efficient solution.
  2. Step 2: Identify suitable algorithm

    XOR partitioning leverages bitwise properties to find missing numbers in linear time and constant space, unlike brute force or DP which are slower or use extra space.
  3. Final Answer:

    Option A -> Option A
  4. Quick Check:

    XOR partitioning runs in O(n) time and O(1) space [OK]
Quick Trick: XOR partitioning splits numbers by set bit efficiently [OK]
Common Mistakes:
MISTAKES
  • Assuming brute force is efficient enough
  • Confusing DP with sum-based methods
  • Thinking greedy can find missing pairs
Trap Explanation:
PITFALL
  • Brute force looks straightforward but is O(n²), DP is unrelated here, greedy fails because missing numbers are not necessarily consecutive.
Interviewer Note:
CONTEXT
  • Tests if candidate can recognize the optimal bit manipulation pattern under time constraints.
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