What happens when the graph is not Directed Acyclic Graphs (DAG)?

If the graph contains a cycle, then some states would lead back to themselves after a series of transitions. This would lead to infinite calculations. Thus, answer will not exist if the graph is cyclic in this case. As shown in below image, we potentially keep traversing the cycle indefinitely, making it impossible to find the longest path.

DP on Directed Graphs

Dynamic Programming (DP) and Directed Acyclic Graphs (DAG)

Every Dynamic Programming problem can be represented as a Directed Acyclic Graph(DAG). The nodes of the DAG represent the subproblems and the edges represents the transitions between the subproblems.

Table of Content

  • Relationship Between Dynamic Programming (DP) and Directed Acyclic Graphs (DAG)
  • What happens when the graph is not DAG?
  • How to Solve Dynamic Programming (DP) Problems on Directed Graphs
  • Practice Problems on Dynamic Programming (DP) and Directed Acyclic Graphs (DAG)

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Relationship Between Dynamic Programming (DP) and Directed Acyclic Graphs (DAG):

1. Subproblems and DAG Nodes:...

What happens when the graph is not Directed Acyclic Graphs (DAG)?

If the graph contains a cycle, then some states would lead back to themselves after a series of transitions. This would lead to infinite calculations. Thus, answer will not exist if the graph is cyclic in this case. As shown in below image, we potentially keep traversing the cycle indefinitely, making it impossible to find the longest path....

How to Solve Dynamic Programming (DP) Problems on Directed Graphs:

Let us consider few problems which will tell how to define the states and make the transition:...

Practice Problems Dynamic Programming (DP) on Directed Graphs for Competitive Programming:

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