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What is the time complexity of the optimal bit reversal algorithm using divide and conquer masks on a fixed 32-bit integer?

medium🪤 Complexity Trap Q13 of Q15
Bit Manipulation - Reverse Bits
What is the time complexity of the optimal bit reversal algorithm using divide and conquer masks on a fixed 32-bit integer?
AO(1) because the number of operations is fixed and independent of input size.
BO(32) because each bit is processed individually in steps.
CO(log n) where n is the number of bits, due to recursive bit swaps.
DO(n) where n is the number of bits, since each bit must be moved at least once.
Step-by-Step Solution
Solution:
  1. Step 1: Analyze algorithm steps

    The algorithm performs a sequence of bitwise operations that swap bits in stages, each stage halving the problem size.
  2. Step 2: Determine complexity

    Since the algorithm performs log n stages (where n=32 bits), the time complexity is O(log n).
  3. Final Answer:

    Option C -> Option C
  4. Quick Check:

    Number of steps proportional to log n due to divide and conquer swaps [OK]
Quick Trick: Divide and conquer bit swaps perform O(log n) steps [OK]
Common Mistakes:
MISTAKES
  • Assuming fixed bit width means O(1) for arbitrary n
  • Confusing bit count with input size
  • Thinking each bit is processed individually in a loop
Trap Explanation:
PITFALL
  • While fixed 32-bit width means constant time, the algorithm conceptually performs O(log n) steps for n-bit inputs.
Interviewer Note:
CONTEXT
  • Checks understanding of complexity in divide and conquer bit manipulation algorithms.
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