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Given the following partial memo dictionary from a top-down DP solution for Target Sum: {(3, 2): 3, (4, 3): 5, (5, 1): 2} and knowing the input array length is 5, which of the following input arrays and target sums could produce this memo state?

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Dynamic Programming: Knapsack - Target Sum
Given the following partial memo dictionary from a top-down DP solution for Target Sum: {(3, 2): 3, (4, 3): 5, (5, 1): 2} and knowing the input array length is 5, which of the following input arrays and target sums could produce this memo state?
Anums = [1, 2, 1, 1, 1], target = 3
Bnums = [1, 1, 1, 1, 1], target = 3
Cnums = [2, 2, 1, 1, 1], target = 4
Dnums = [1, 1, 2, 2, 1], target = 2
Step-by-Step Solution
Solution:
  1. Step 1: Interpret memo keys

    Memo keys (i, current_sum) represent number of ways to reach current_sum at index i.
  2. Step 2: Match known example

    The memo entries correspond to the classic example nums=[1,1,1,1,1], target=3, where dp counts match these values.
  3. Final Answer:

    Option B -> Option B
  4. Quick Check:

    Memo matches known counts for all ones and target 3 [OK]
Quick Trick: Memo keys match index and sum states for classic example [OK]
Common Mistakes:
MISTAKES
  • Ignoring index in memo keys
  • Assuming arbitrary arrays without verifying counts
Trap Explanation:
PITFALL
  • Candidates often overlook that memo keys include index and sum, not just sums.
Interviewer Note:
CONTEXT
  • Tests deep understanding of DP state representation and memoization.
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