Practice Implementation of Backtracking - 32.2 | 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: Consider scenarios where you need to try different paths.

Question 2

Easy

Describe the N Queens problem.

πŸ’‘ Hint: Think about how queens move in chess.

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 is the main purpose of backtracking?

  • To find all possible solutions
  • To randomly guess solutions
  • To solve problems in O(n) time

πŸ’‘ Hint: Consider why we explore options before deciding on a solution.

Question 2

Is it possible to place 2 queens on a 2 x 2 chessboard without them attacking each other?

  • True
  • False

πŸ’‘ Hint: Visualize the board and think about queen movements.

Solve 3 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Prove that the N Queens problem has no solutions for N = 2 and N = 3, and outline the reasoning behind your proof.

πŸ’‘ Hint: Consider each placement's attack range.

Question 2

Develop a pseudocode algorithm using backtracking to solve the N Queens problem, ensuring to handle states effectively.

πŸ’‘ Hint: Think about the recursive structure and how to return to previous states.

Challenge and get performance evaluation