Iterative Deepening A* Algorithm (IDA*) — AI Technical Interview Questions & Answers

Iterative Deepening A* Algorithm (IDA*)

Iterative Deepening A* Algorithm (IDA*)

  • Iterative Deepening A* Algorithm (IDA*) 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.
  • Iterative Deepening A* Algorithm (IDA*) — output: three exam lines. Graph on paper first.
  • For Iterative Deepening A* Algorithm (IDA*): always mark visited nodes or you loop. Say complexity in plain words: time vs memory trade-off.
  f(n) = g(n) + h(n)
  pick smallest f
  admissible h → optimal

Technical Interview Tip: DS + heuristic yes/no + optimality.

Code Examples for Iterative Deepening A* Algorithm (IDA*)

Example

# Iterative Deepening A* Algorithm (IDA*)
print("draw 6 nodes")
print("name the DS: queue / stack / priority")
print("say if the path is optimal")

Iterative Deepening A* Algorithm (IDA*) — output: three exam lines. Graph on paper first.

How to Explain Iterative Deepening A* Algorithm (IDA*) to an Interviewer

Explain Iterative Deepening A* Algorithm (IDA*) as if you are teaching a junior — definition, then one example.

Iterative Deepening A* Algorithm (IDA*) — how we walk the state graph. Iterative Deepening A* Algorithm (IDA*) — visited set.

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

Iterative Deepening A* Algorithm (IDA*) — output: three exam lines

What mistake do freshers make with Iterative Deepening A* Algorithm (IDA*)?

Iterative Deepening A* Algorithm (IDA*) — heuristic or not?