When should I use BFS or DFS in algorithms?

Can you explain when to use BFS or DFS in algorithms?

Sure! BFS (Breadth-First Search) is best for finding the shortest path in unweighted graphs, while DFS (Depth-First Search) is useful for exploring all possible paths.

What are the main differences between BFS and DFS?

BFS explores neighbors level by level, using a queue, while DFS goes as deep as possible down one path before backtracking, using a stack.

In what scenarios would DFS be more advantageous than BFS?

DFS is more memory efficient for deep graphs and can be faster for problems like topological sorting or solving puzzles.

Can you give an example of a problem where BFS is preferred?

Certainly! BFS is preferred in scenarios like finding the shortest path in a maze or social network connections.