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Depth First Search in Graphs

Explore the Depth First Search algorithm and its recursive implementation in Java. Understand how to traverse graph nodes from a root using recursion, track visited vertices, and backtrack properly. This lesson helps you apply DFS to explore node paths and prepares you for complex graph problems in coding interviews.

Depth First Search is a method used to traverse and search all nodes in a graph. The algorithm allows us to determine if two nodes, node a and node b, have a path between them. This process starts from the root node and then traverses all through that branch until it reaches the leaf, the last node with no other children, and then backtracks. This continues until all nodes have been traversed. The illustration below explains the process of DFS in a directed graph.

Implementing the Code

The code below shows how to implement this process using recursion. First, let’s examine the code, and then we will move on to its explanation.

You must modify the edges by using addEdge, and the number of vertices nVertices to create your own graph, g ...