What is depth-first search in graphs?
Depth-first search (DFS) is an algorithm for traversing or searching tree or graph data structures. It starts at a root node and explores as far as possible along each branch before backtracking.
How does DFS differ from breadth-first search?
DFS explores as far down a branch as possible before backtracking, while breadth-first search (BFS) explores all neighbors at the present depth prior to moving on to nodes at the next depth level.
Can you give me an example of how DFS works?
Sure! Imagine a graph with nodes A, B, C, and D. Starting at A, DFS would go to B, then to C, and finally to D, backtracking as needed.
What are the applications of depth-first search?
DFS is used in various applications like pathfinding, topological sorting, and solving puzzles such as mazes.
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