Dynamic Programming: Knapsack - Integer BreakWhat is the space complexity of the top-down memoized recursive solution for integer break with input n?AO(1)BO(n) plus recursion stack space O(n)CO(n^2)DO(n)Check Answer
Step-by-Step SolutionSolution:Step 1: Analyze dp array spacedp array size is n+1 -> O(n) space.Step 2: Analyze recursion stack depthRecursion depth can be up to n -> O(n) stack space.Final Answer:Option B -> Option BQuick Check:Memo + recursion stack -> O(n) + O(n) = O(n) total [OK]Quick Trick: Memo array + recursion stack both use O(n) space [OK]Common Mistakes:MISTAKESIgnoring recursion stack spaceAssuming constant spaceTrap Explanation:PITFALLCandidates often forget recursion stack space, picking O(n) only for dp array.Interviewer Note:CONTEXTTests understanding of auxiliary space in recursive DP
Master "Integer Break" in Dynamic Programming: Knapsack3 interactive learning modes - each teaches the same concept differentlyTry ItSolutionTrace
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