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Consider the following code snippet implementing the optimal solution for the problem. Given the input strs = ["10", "0", "1"], m = 1, and n = 1, what is the final returned value?

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Dynamic Programming: Knapsack - Ones and Zeroes (2D Knapsack)
Consider the following code snippet implementing the optimal solution for the problem. Given the input strs = ["10", "0", "1"], m = 1, and n = 1, what is the final returned value?
A2
B3
C1
D0
Step-by-Step Solution
Solution:
  1. Step 1: Trace dp updates for "10" (zeros=1, ones=1)

    dp[1][1] = max(dp[1][1], 1 + dp[0][0]) = 1
  2. Step 2: Trace dp updates for "0" (zeros=1, ones=0) and "1" (zeros=0, ones=1)

    After "0": dp[1][1] = max(1, 1 + dp[0][1]) = 1; After "1": dp[1][1] = max(1, 1 + dp[1][0]) = 1; Combining subsets "0" and "1" fits within limits, so dp[1][1] = 2
  3. Final Answer:

    Option A -> Option A
  4. Quick Check:

    Maximum subset size fitting m=1,n=1 is 2 [OK]
Quick Trick: Trace dp from largest capacity down to zero [OK]
Common Mistakes:
MISTAKES
  • Counting subsets incorrectly
  • Forgetting to iterate dp backwards
Trap Explanation:
PITFALL
  • Forward iteration would double count strings, leading to wrong dp values.
Interviewer Note:
CONTEXT
  • Tests candidate's ability to mentally execute nested loops and dp updates.
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