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Test your understanding with targeted questions related to the topic.
Question 1
Easy
Explain backtracking in your own words.
π‘ Hint: Think about Sudoku or maze-solving.
Question 2
Easy
What does N represent in the N Queens problem?
π‘ Hint: Relate it to the board size.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the main goal of the N Queens problem?
π‘ Hint: Consider the rules of the chess piece.
Question 2
True or False: Backtracking is only useful when there are limited possible moves available.
π‘ Hint: Think about how backtracking explores multiple paths.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
Design a backtracking algorithm in Python for N = 8. Discuss the performance implications.
π‘ Hint: Factor in time complexity, potentially O(N!).
Question 2
How would your algorithm accommodate variable sizes of the board (N changing)? Discuss adaptations.
π‘ Hint: Think about dynamic data structures.
Challenge and get performance evaluation