What are some examples of Depth-First Search and Breadth-First Search?

Can you explain Depth-First Search with an example?

Sure! Depth-First Search (DFS) explores as far as possible along each branch before backtracking. For example, in a tree structure, if you start at the root and go down to the leftmost leaf, that's DFS.

What about Breadth-First Search?

Breadth-First Search (BFS) explores all neighbors at the present depth prior to moving on to nodes at the next depth level. For instance, in a graph, it visits all nodes at the current level before going deeper.

Can you give me a real-world application of these algorithms?

Absolutely! DFS is often used in puzzle solving, like mazes, while BFS is used in finding the shortest path in unweighted graphs, such as social networks.

How do these algorithms differ in terms of performance?

DFS can be more memory efficient than BFS, especially in deep trees, but BFS guarantees the shortest path in unweighted graphs, making it more suitable for certain applications.