Every Dynamic Programming problem can be modeled as finding the shortest (or longest) path in a Directed Acyclic Graph (DAG) whose vertices represent states and whose directed edges represent transitions. Processing vertices in topological order guarantees that all dependencies are solved prior to evaluation.
Dynamic Programming on Directed Acyclic Graphs (DAGs): Topological Sort & Longest Paths
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