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Consider the following code for computing the minimum number of perfect squares summing to n. What is the value of dp[4] after the outer loop iteration i = 4 completes?

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Dynamic Programming: Knapsack - Perfect Squares
Consider the following code for computing the minimum number of perfect squares summing to n. What is the value of dp[4] after the outer loop iteration i = 4 completes?
A4
B1
C3
D2
Step-by-Step Solution
Solution:
  1. Step 1: Trace dp[4] updates

    For i=4, j iterates over 1 and 2 because 1*1=1 <=4 and 2*2=4 <=4. - For j=1: dp[4] = min(inf, 1 + dp[3]) = 1 + dp[3] - For j=2: dp[4] = min(previous, 1 + dp[0]) = min(previous, 1 + 0) = 1 Since dp[0] = 0, dp[4] becomes 1.
  2. Step 2: Confirm dp[4] final value

    dp[4] = 1 means 4 can be represented as one perfect square (2*2). This matches the expected minimal count.
  3. Final Answer:

    Option B -> Option B
  4. Quick Check:

    dp[4] = 1 for 4 = 2^2 [OK]
Quick Trick: dp[4] = 1 because 4 is a perfect square itself [OK]
Common Mistakes:
MISTAKES
  • Off-by-one errors in loop
  • Ignoring dp[0] base case
Trap Explanation:
PITFALL
  • Candidates often forget dp[0] = 0 or miscalculate dp[i - j*j], leading to wrong dp[4].
Interviewer Note:
CONTEXT
  • Tests ability to mentally execute DP code and handle base cases correctly.
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