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AI · Theory

Bidirectional Search Algorithm

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Theory

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Bidirectional Search Algorithm

Bidirectional Search Algorithm 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.

Bidirectional Search Algorithm — output — three exam lines. Graph on paper first.

For Bidirectional Search Algorithm: 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

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

Bidirectional Search Algorithm — output: three exam lines. Graph on paper first.

Short notes

  • DefBidirectional Search Algorithm — how we walk the state graph.
  • RuleBidirectional Search Algorithm — visited set.
  • RememberBidirectional Search Algorithm — heuristic or not?

Questions

1

Explain Bidirectional Search Algorithm 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 Bidirectional Search Algorithm?

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