What is the difference between a topological sort and a depth-first search in graphs?

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What is the difference between a topological sort and a depth-first search in graphs?

The main difference between a topological sort and a depth-first search in graphs is their purpose and the way they traverse the graph.

A topological sort is used to linearly order the vertices of a directed acyclic graph (DAG) in such a way that for every directed edge (u, v), vertex u comes before vertex v in the ordering. It is commonly used in tasks such as task scheduling, dependency resolution, and determining the order of events. Topological sort can be achieved using various algorithms like Kahn's algorithm or depth-first search.

On the other hand, a depth-first search (DFS) is a graph traversal algorithm that explores as far as possible along each branch before backtracking. It is used to visit and explore all the vertices of a graph, and it can be used to solve various graph-related problems such as finding connected components, detecting cycles, and determining reachability. DFS does not necessarily provide a linear ordering of the vertices like topological sort does.

In summary, the main difference is that topological sort is specifically used to order the vertices of a DAG, while depth-first search is a general graph traversal algorithm used to explore and visit all vertices of a graph.