Which algorithm is more memory efficient for deep graphs?
Practice Questions
Q1
Which algorithm is more memory efficient for deep graphs?
BFS
DFS
Both are equal
Neither is efficient
Questions & Step-by-Step Solutions
Which algorithm is more memory efficient for deep graphs?
Step 1: Understand what deep graphs are. Deep graphs have many levels or layers of nodes, but not many nodes at each level.
Step 2: Learn about the two algorithms: DFS (Depth-First Search) and BFS (Breadth-First Search).
Step 3: Know that DFS explores as far down a branch as possible before backtracking, using a stack to remember where to go next.
Step 4: Understand that BFS explores all nodes at the current level before moving to the next level, using a queue to keep track of nodes.
Step 5: Realize that in deep graphs, BFS can use a lot of memory because it needs to store all nodes at the current level, which can be many if the graph is wide.
Step 6: Conclude that DFS is more memory efficient for deep graphs because it only needs to remember the nodes along the current path, not all nodes at the current level.
