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AI · Theory

Difference between Depth First Search, Breadth First Search, and Depth Limit Search

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Theory

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Difference between Depth First Search, Breadth First Search, and Depth Limit Search

BFS: queue, level by level, shortest hops if cost=1, more memory. DFS: stack, deep first, less memory, can miss nearby goals, may loop without a visited set. A*: g+h, optimal with admissible h, needs a good heuristic.

One table, three rows. That beats a speech.

Difference between Depth First Search, Breadth First Search, and Depth Limit Search — output: three exam lines. Graph on paper first.

Diagram
start
    ├── BFS  queue
    ├── DFS  stack
    └── A*   g+h
    │
    ▼
   goal
Exam tip

Three-row table: DS + optimality.

Example

# Difference between Depth First Search, Breadth First Search, and Depth Limit Search
print("draw 6 nodes")
print("name the DS: queue / stack / priority")
print("say if the path is optimal")

Difference between Depth First Search, Breadth First Search, and Depth Limit Search — output: three exam lines. Graph on paper first.

Short notes

  • DefBFS queue / DFS stack / A* g+h.

Questions

1

How do you explain Difference between Depth First Search, Breadth First Search, and Depth Limit Search on the board? Give one example each side.

2

When would you still pick the human side?

3

What phrase should you avoid?

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