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Suppose now you want to count the number of ways to make change but coins can be used at most once each (no reuse). Which modification to the DP approach correctly solves this variant?

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Dynamic Programming: Knapsack - Number of Ways to Make Change
Suppose now you want to count the number of ways to make change but coins can be used at most once each (no reuse). Which modification to the DP approach correctly solves this variant?
AUse 1D DP iterating amounts forwards but reset dp array after each coin
BUse 2D DP with dp[i][w] representing ways using first i coins for amount w, iterating amounts forwards
CUse the same 1D DP but iterate amounts backwards from amount down to coin value
DUse greedy approach picking largest coins first until amount is reached
Step-by-Step Solution
Solution:
  1. Step 1: Understand no reuse constraint

    Each coin can be used once, so combinations must not count repeated usage of the same coin.
  2. Step 2: Modify DP iteration order

    Iterating amounts backwards in 1D DP ensures each coin contributes only once per amount, preventing reuse.
  3. Step 3: Confirm correctness

    This approach correctly counts combinations without reuse, unlike forward iteration which allows multiple usage.
  4. Final Answer:

    Option C -> Option C
  5. Quick Check:

    Backward iteration in 1D DP enforces single usage per coin [OK]
Quick Trick: Backward iteration prevents coin reuse in 1D DP [OK]
Common Mistakes:
MISTAKES
  • Using forward iteration allows unlimited reuse
  • Resetting dp array loses accumulated counts
  • Greedy approach misses many combinations
Trap Explanation:
PITFALL
  • Forward iteration is intuitive but breaks no-reuse constraint; backward iteration is subtle but correct.
Interviewer Note:
CONTEXT
  • Tests candidate's ability to adapt DP for usage constraints and iteration order effects.
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