How do DFS and BFS compare to other algorithms?

What are the main differences between DFS and BFS?

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.

When would you use DFS over BFS?

DFS is often used when the solution is deep in the tree or graph, or when memory is a constraint, as it uses less memory than BFS.

Can you explain how these algorithms compare to A* or Dijkstra's algorithm?

Sure! A* and Dijkstra's are pathfinding algorithms that consider weights on edges, while DFS and BFS are unweighted search algorithms. A* uses heuristics to find the shortest path efficiently.

What are some real-world applications of these algorithms?

DFS is used in puzzle solving and scheduling problems, while BFS is used in social networking and broadcasting. A* is commonly used in GPS navigation.