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Which approach guarantees generating every subset exactly once with a time complexity proportional to the number of subsets times the size of each subset?

easy🔍 Pattern Recognition Q11 of Q15
Subsets & Combinations - Subsets Using Bitmask
You need to generate all possible subsets of a given set of distinct integers. Which approach guarantees generating every subset exactly once with a time complexity proportional to the number of subsets times the size of each subset?
AGreedy algorithm that picks elements based on their value order
BEnumerate all bitmasks from 0 to 2^n - 1, selecting elements where bits are set
CDynamic programming to count subsets without generating them
DSorting the array and using two pointers to find pairs
Step-by-Step Solution
  1. Step 1: Understand the problem

    We want to generate all subsets of a set, which are 2^n in number.
  2. Step 2: Identify the approach that enumerates all subsets

    Bitmask enumeration from 0 to 2^n - 1 maps each bit to an element's inclusion, guaranteeing all subsets exactly once.
  3. Final Answer:

    Option B -> Option B
  4. Quick Check:

    Bitmask enumeration covers all subsets systematically [OK]
Quick Trick: Bitmask from 0 to 2^n-1 enumerates all subsets [OK]
Common Mistakes:
MISTAKES
  • Thinking greedy or sorting can generate all subsets efficiently
Trap Explanation:
PITFALL
  • Greedy or sorting approaches do not generate all subsets; bitmask enumeration is exhaustive and exact.
Interviewer Note:
CONTEXT
  • Tests if candidate recognizes bitmask enumeration as the canonical subsets generation method.
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