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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does g(n) represent in A* search?
💡 Hint: Think about the distance covered so far.
Question 2
Easy
Is A* search complete?
💡 Hint: Think about the guarantees that A* provides.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does A* search primarily use to evaluate paths?
- Only g(n)
- Only h(n)
- Both g(n) and h(n)
💡 Hint: Consider the definition of the cost function f(n).
Question 2
True or False: A* search can find optimal solutions using any heuristic.
- True
- False
💡 Hint: Remember the conditions for the optimality of A*.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Implement a basic A* search algorithm in a programming language of your choice. Use a simple grid layout where certain cells are obstacles. Explain the choice of your heuristic functions.
💡 Hint: Start with a straightforward grid and incrementally add obstacles to see how the path changes.
Question 2
Discuss the potential impacts of an inadmissible heuristic on the results produced by A*. What could happen if the heuristic significantly overestimates the cost?
💡 Hint: Consider how overestimating alters the way A* ranks its paths.
Challenge and get performance evaluation