Practice Problems Dynamic Programming (DP) on Directed Graphs for Competitive Programming
Longest path in a directed Acyclic graph |
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Longest Path with Maximum Letter Frequency |
Minimum path need to reverse to reach each node in a tree from each vertex |
Two-Color Sorting |
Dynamic Programming (DP) and Directed Acyclic Graphs (DAG)
Pre-Requisite:
What is Directed Graph? | Directed Graph meaning
Dynamic Programming (DP) Tutorial with Problems
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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