Directed acyclic graphs (DAGs) serve a wide variety of applications in computer science, biology, sociology, and other fields that involve complex networks. While these graphs often contain a large number of edges, some of the edges might be redundant, making computations unnecessarily expensive and the graph structure harder to understand. By Dominik Braun.
This article demonstrates how a DAG can be built in Go using the graph library and describes the algorithm to remove these redundant edges in detail. Further it explains:
- Transitive reduction
- Building the DAG
- Computing the transitive reduction
- Implementing the algorithm
- Using transitive reduction in your application
Adding numerous edges to a DAG can make the graph unnecessarily complex. However, these graphs can be simplified using a technique called transitive reduction. Good read!
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