Table of Contents

## How do you find a loop in a directed graph?

To detect cycle, check for a cycle in individual trees by checking back edges. To detect a back edge, keep track of vertices currently in the recursion stack of function for DFS traversal. If a vertex is reached that is already in the recursion stack, then there is a cycle in the tree.

**Can directed graphs have loops?**

On the other hand, the aforementioned definition allows a directed graph to have loops (that is, arcs that directly connect nodes with themselves), but some authors consider a narrower definition that doesn’t allow directed graphs to have loops.

**Can we detect cycle in directed graph using BFS?**

BFS wont work for a directed graph in finding cycles. Consider A->B and A->C->B as paths from A to B in a graph. BFS will say that after going along one of the path that B is visited. When continuing to travel the next path it will say that marked node B has been again found,hence, a cycle is there.

### Can DFS detect cycle?

Using a Depth First Search (DFS) traversal algorithm we can detect cycles in a directed graph. If there is any self-loop in any node, it will be considered as a cycle, otherwise, when the child node has another edge to connect its parent, it will also a cycle.

**What is loop in graph give example?**

A loop-graph is a graph which allows an edge to start and end at the same vertex: Such an edge is called a loop.

**How do you know if a graph has multiple edges?**

In graph theory, multiple edges (also called parallel edges or a multi-edge), are, in an undirected graph, two or more edges that are incident to the same two vertices, or in a directed graph, two or more edges with both the same tail vertex and the same head vertex. A simple graph has no multiple edges and no loops.

## How do I find cycles with BFS?

Steps involved in detecting cycle in a directed graph using BFS. Step-1: Compute in-degree (number of incoming edges) for each of the vertex present in the graph and initialize the count of visited nodes as 0. Step-3: Remove a vertex from the queue (Dequeue operation) and then. Increment count of visited nodes by 1.

**How do you find the cycle of a graph using BFS?**

We do a BFS traversal of the given graph. For every visited vertex ‘v’, if there is an adjacent ‘u’ such that u is already visited and u is not a parent of v, then there is a cycle in the graph. If we don’t find such an adjacent for any vertex, we say that there is no cycle.

**What is back edge in graph?**

Back Edge: It is an edge (u, v) such that v is an ancestor of node u but not part of the DFS Traversal of the tree. Edge from 5 to 4 is a back edge. The presence of a back edge indicates a cycle in a directed graph. Consider an undirected graph is given below, the DFS of the below graph is 3 1 2 4 6 5.

### How do you find the topological order on a graph?

We recommend to first see the implementation of DFS. We can modify DFS to find Topological Sorting of a graph. In DFS, we start from a vertex, we first print it and then recursively call DFS for its adjacent vertices. In topological sorting, we use a temporary stack.

**How to detect cycles in a directed graph?**

Using a Depth First Search (DFS) traversal algorithm we can detect cycles in a directed graph. If there is any self-loop in any node, it will be considered as a cycle, otherwise, when the child node has another edge to connect its parent, it will also a cycle. For the disconnected graph, there may different trees present, we can call them a forest.

**How to detect a cycle in a graph using depth first traverse?**

Approach: Depth First Traversal can be used to detect a cycle in a Graph. DFS for a connected graph produces a tree. There is a cycle in a graph only if there is a back edge present in the graph. A back edge is an edge that is from a node to itself (self-loop) or one of its ancestors in the tree produced by DFS.

## What is a directed graph?

Directed graphs are usually used in real-life applications to represent a set of dependencies. For example, a course pre-requisite in a class schedule can be represented using directed graphs.

**When is a directed graph acyclic?**

A directed graph G is acyclic if and only if a depth-first search of G yields no back edges. This has been mentioned in several answers; here I’ll also provide a code example based on chapter 22 of CLRS. The example graph is illustrated below. CLRS’ pseudo-code for depth-first search reads: