Mid Detailed answer Dynamic Programming DSA & Coding Interviews

Explain the Coin Change problem.

Short answer: Unbounded knapsack DP: dp[a] = minimum coins to make amount a. For each coin, update dp[x] = min(dp[x], dp[x - coin] + 1). Initialize dp[0] = 0 and others to +∞. Return -1 if unreachable.

Complexity

Time O(amount * coins), Space O(amount).

Edge cases to mention

  • Amount 0 → 0
  • No combination possible → -1
  • Coin larger than amount

Common follow-ups

  • Coin Change II — number of combinations
  • Fewest coins with limited supply
Mention top-down memoization as an alternative to bottom-up.
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