What is the main disadvantage of using BFS compared to DFS?
Practice Questions
Q1
What is the main disadvantage of using BFS compared to DFS?
Higher memory usage
Slower execution
More complex implementation
Less effective for deep graphs
Questions & Step-by-Step Solutions
What is the main disadvantage of using BFS compared to DFS?
Step 1: Understand what BFS (Breadth-First Search) and DFS (Depth-First Search) are. BFS explores all neighbors at the present depth before moving on to nodes at the next depth level, while DFS explores as far as possible along a branch before backtracking.
Step 2: Recognize that BFS uses a queue to keep track of all the nodes at the current level. This means it needs to store many nodes in memory at once.
Step 3: Compare this with DFS, which uses a stack (or recursion) and only needs to remember the nodes along the current path, requiring less memory overall.
Step 4: Conclude that the main disadvantage of BFS is its higher memory usage compared to DFS, especially in wide trees or graphs.
