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Suppose now the problem changes: you can use each element unlimited times to form subsets summing to K. Which approach is best suited to solve this variant?

hard๐ŸŽค Interviewer Follow-up Q10 of Q15
Subsets & Combinations - Count of Subsets With Sum K
Suppose now the problem changes: you can use each element unlimited times to form subsets summing to K. Which approach is best suited to solve this variant?
ABacktracking with memoization as before
BGreedy approach selecting largest elements repeatedly
CSpace-optimized DP iterating forward over sums
DSpace-optimized DP iterating backward over sums
Step-by-Step Solution
Solution:
  1. Step 1: Understand variant

    Unlimited usage means classic unbounded subset sum problem.
  2. Step 2: Identify correct DP iteration

    For unbounded subsets, DP must iterate forward over sums to allow multiple uses.
  3. Step 3: Evaluate options

    Space-optimized DP iterating forward over sums (forward iteration DP) is correct approach; greedy fails for counting subsets.
  4. Final Answer:

    Option C โ†’ Option C
  5. Quick Check:

    Unbounded subset sum โ†’ forward iteration DP [OK]
Quick Trick: Unbounded subsets โ†’ forward iteration in DP [OK]
Common Mistakes:
MISTAKES
  • Using backward iteration DP or greedy for unbounded subsets
Trap Explanation:
PITFALL
  • Candidates often reuse bounded subset DP code incorrectly for unbounded variant.
Interviewer Note:
CONTEXT
  • Tests ability to adapt DP approach to problem variants with unlimited element usage.
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