Can you explain and visualize DFS and BFS algorithms?
Sure! DFS (Depth-First Search) explores as far as possible along each branch before backtracking, while BFS (Breadth-First Search) explores all neighbors at the present depth prior to moving on to nodes at the next depth level.
Can you show me a visual representation of both algorithms?
Absolutely! Imagine a tree structure. For DFS, you would go deep down one branch before exploring others, while BFS would explore all nodes at the current level before moving deeper.
What are the practical applications of DFS and BFS?
DFS is often used in pathfinding and puzzle solving, while BFS is great for finding the shortest path in unweighted graphs.
Can you provide a code example for both algorithms?
Sure! Here’s a simple Python example for DFS and BFS using a graph represented as an adjacency list.
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