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Which approach guarantees an optimal solution that systematically enumerates all subsets without missing or duplicating any, and can be implemented efficiently using bitwise operations?

easy🔍 Pattern Recognition Q11 of Q15
Bit Manipulation - Subsets Using Bitmask
You need to generate all possible subsets of a given set of unique integers. Which approach guarantees an optimal solution that systematically enumerates all subsets without missing or duplicating any, and can be implemented efficiently using bitwise operations?
AGreedy algorithm that picks elements based on local optimality
BBitmask enumeration that uses binary representation to generate all subsets
CDynamic programming approach similar to knapsack problem
DSorting the array and using two pointers to find subsets
Step-by-Step Solution
Solution:
  1. Step 1: Understand the problem requires generating all subsets

    Generating all subsets means enumerating 2^n combinations, where n is the number of elements.
  2. Step 2: Identify approach that systematically covers all subsets

    Bitmask enumeration uses binary numbers from 0 to 2^n - 1, where each bit represents inclusion/exclusion of an element, ensuring all subsets are generated exactly once.
  3. Final Answer:

    Option B -> Option B
  4. Quick Check:

    Bitmask enumeration covers all subsets without duplicates [OK]
Quick Trick: Bitmask maps bits to element inclusion [OK]
Common Mistakes:
MISTAKES
  • Confusing greedy or DP as suitable for subset enumeration
Trap Explanation:
PITFALL
  • DP and greedy approaches often solve optimization, not enumeration problems, making them plausible but incorrect here.
Interviewer Note:
CONTEXT
  • Tests if candidate can recognize bitmask pattern for subset enumeration.
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