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What is the overall time complexity of generating all subsets of an array of size n using bitmask enumeration?

medium📊 Complexity Q5 of Q15
Bit Manipulation - Subsets Using Bitmask
What is the overall time complexity of generating all subsets of an array of size n using bitmask enumeration?
AO(n * 2^n)
BO(n^2)
CO(2^n)
DO(n!)
Step-by-Step Solution
Solution:
  1. Step 1: Number of subsets

    There are 2^n subsets for an array of size n.
  2. Step 2: Time per subset

    For each subset, we check up to n bits to decide which elements to include.
  3. Step 3: Total time

    Multiplying gives O(n * 2^n).
  4. Final Answer:

    Option A -> Option A
  5. Quick Check:

    Each subset requires O(n) to build, total subsets 2^n [OK]
Quick Trick: 2^n subsets, each takes O(n) to build [OK]
Common Mistakes:
MISTAKES
  • Ignoring the cost to build each subset
  • Confusing with O(2^n) only which ignores element iteration
  • Mistaking factorial or polynomial complexities
Trap Explanation:
PITFALL
  • Ignoring the O(n) cost per subset leads to underestimating complexity.
Interviewer Note:
CONTEXT
  • Tests understanding of time complexity for bitmask subset generation.
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