What are the advantages of using Depth-First Search (DFS) in algorithms?
Depth-First Search (DFS) has several advantages, including lower memory usage compared to Breadth-First Search, and it can be more efficient for certain types of problems, like pathfinding in mazes.
Can you explain why DFS uses less memory?
DFS uses a stack to keep track of nodes, which can be implemented with less memory overhead than the queue used in BFS, especially in sparse graphs.
Are there specific scenarios where DFS is preferred?
Yes, DFS is preferred in scenarios like solving puzzles, topological sorting, and when you need to explore all possible paths in a graph.
What are the limitations of DFS?
DFS can get stuck in deep paths and may not find the shortest path in unweighted graphs, which can be a significant limitation.
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