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Detecting Cycles

Explore the process of detecting cycles in directed graphs by implementing depth-first search algorithms. Understand how to track vertex states to identify cycles, ensuring the graph is acyclic and improving your ability to analyze graph structures in C++ efficiently.

Directed acyclic graph

A directed acyclic graph or dag is a directed graph with no directed cycles. Any vertex in a dag that has no incoming vertices is called a source; any vertex with no outgoing edges is called a sink. An isolated vertex with no incident edges at all is both a source and a sink. Every dag has at least one source and one sink but may have more than one of each. For example, in the graph with nn vertices but no edges, every vertex is a source, and every vertex is a sink.

A directed acyclic graph. Vertices e, f , and j are sources and vertices b, c, and p are sinks.
A directed acyclic graph. Vertices e, f , and j are sources and vertices b, c, and p are sinks.

Algorithm for detecting directed acyclic graph

Recall from our earlier case analysis that if u.post<v.postu.post < v.post for any edge uvu\rightarrow v, the graph contains a directed path from vv to uu, and therefore, contains a directed cycle through the edge uvu\rightarrow v. Thus, we can determine whether a given directed graph GG is a dag in O(V+E)O(V + E) time by computing a postordering of the vertices and then checking each edge by brute force.

Alternatively, instead of ...