Practice Introduction to Backtracking - 32.1.1 | 32. Backtracking, N queens - Part A | Data Structures and Algorithms in Python
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is backtracking?

πŸ’‘ Hint: Think about the meaning of retracing steps in problem-solving.

Question 2

Easy

Can a queen attack another queen in the same row?

πŸ’‘ Hint: Consider how queens move on a chessboard.

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 backtracking allow you to do?

  • Find all solutions directly without any obstacles.
  • Systematically explore options and backtrack when necessary.
  • Only solve problems with a guaranteed solution.

πŸ’‘ Hint: Think of how you'd navigate through choices.

Question 2

In the N Queens problem, what unique feature does a queen have?

  • True
  • False

πŸ’‘ Hint: Remember how the pieces move in chess.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Explain how the efficiency of a backtracking algorithm can be improved using additional constraints.

πŸ’‘ Hint: Think about limits you could place that reduce searches.

Question 2

Develop a simple Python function that implements backtracking for the N Queens problem.

πŸ’‘ Hint: Focus on creating a recursive function that handles placement and conflict checks.

Challenge and get performance evaluation