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What is the space complexity of the DP with bitmask tabulation approach for partitioning an array of size n into k equal sum subsets?

medium🪤 Complexity Trap Q6 of Q15
Dynamic Programming: Knapsack - Partition to K Equal Sum Subsets
What is the space complexity of the DP with bitmask tabulation approach for partitioning an array of size n into k equal sum subsets?
AO(n * k)
BO(2^n)
CO(n * 2^n)
DO(k * 2^n)
Step-by-Step Solution
Solution:
  1. Step 1: Analyze DP storage

    DP array stores one value per subset mask, total 2^n entries.
  2. Step 2: Consider auxiliary space

    Each dp entry stores a small integer (sum modulo target), so total space is O(2^n). No extra arrays proportional to n or k.
  3. Final Answer:

    Option B -> Option B
  4. Quick Check:

    DP table size dominates space -> O(2^n) [OK]
Quick Trick: DP table size = 2^n entries -> O(2^n) space [OK]
Common Mistakes:
MISTAKES
  • Including recursion stack space from memoization
  • Multiplying space by k or n unnecessarily
Trap Explanation:
PITFALL
  • Candidates confuse recursive memoization stack space with tabulation space or multiply by k.
Interviewer Note:
CONTEXT
  • Tests understanding of DP space usage in bitmask tabulation
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