7.2 Depth-First Search
DFS (Depth-First Search) is a method used to traverse or search tree or graph data structures. The algorithm works by starting at a root node and traversing the graph as far as possible along each branch before backtracking. This process is continued until all the nodes have been explored.
To illustrate this concept, imagine yourself in a labyrinth. If you decide to use the DFS approach, you would choose one direction and follow it as far as you can go. If you reach a dead end, you would then backtrack and choose a new direction to explore. This process would be repeated until you have explored all possible paths in the labyrinth.
The DFS algorithm is commonly used in various applications such as determining the connectivity of a graph, finding a path between two nodes, and identifying cycles in a graph. It is a simple yet powerful algorithm that can be used to solve a wide variety of problems related to graph theory and data structures.
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