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AI · Theory

Depth Limited Search

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Theory

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Depth Limited Search

Depth Limited Search is a search strategy. Say the data structure, whether it uses a heuristic, and if it guarantees a shortest path. Draw a tiny 6-node graph. That is the exam, not a textbook proof.

Depth Limited Search — output — three exam lines. Graph on paper first.

For Depth Limited Search: always mark visited nodes or you loop. Say complexity in plain words: time vs memory trade-off.

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

DS + heuristic yes/no + optimality.

Example

# Depth Limited Search
print("draw 6 nodes")
print("name the DS: queue / stack / priority")
print("say if the path is optimal")

Depth Limited Search — output: three exam lines. Graph on paper first.

Short notes

  • DefDepth Limited Search — how we walk the state graph.
  • RuleDepth Limited Search — visited set.
  • RememberDepth Limited Search — heuristic or not?

Questions

1

Explain Depth Limited Search as if you are teaching a junior — definition, then one example.

2

What does the example print, and what does that prove?

3

What mistake do freshers make with Depth Limited Search?

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