Module
Dynamic Programming
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About
Optimal substructure + overlapping subproblems. Top-down memoization vs. bottom-up tables. Weighted interval scheduling, knapsack (0-1), sequence alignment/edit distance, RNA secondary structure (optional), and shortest paths with negative edges (Bellman–Ford) or DAG shortest paths.
Goal
Formulate a DP recurrence with clear subproblem definition and base cases; fill tables or memoize correctly; reconstruct solutions; analyze time/space; and convert a recursive exponential solution into an efficient polynomial DP.
Prerequisites
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