Practice Simplified Search Process - 32.4.1 | 32. Backtracking, N queens - Part B | 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 are the four ways a queen can attack a square?

πŸ’‘ Hint: Think about the movements of a queen in chess.

Question 2

Easy

How is the status of a row under attack represented?

πŸ’‘ Hint: Consider how we track attacked squares with arrays.

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 the attack representation help with?

  • Reducing time complexity
  • Simplifying problem statement
  • Visualizing the chessboard

πŸ’‘ Hint: Consider what factors play a crucial role in making algorithms run faster.

Question 2

True or False: A queen can attack squares in all directions on the board.

  • True
  • False

πŸ’‘ Hint: Recall the movement ability of a queen in chess.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a linear representation for an N-Queens problem with N=5 and outline the steps needed to check if a position (3, 2) is free for placing a queen.

πŸ’‘ Hint: Ensure that you apply the correct indices to your checks.

Question 2

Implement a function in Python that initializes attack arrays for a given N in the N-Queens problem and explain its complexity.

πŸ’‘ Hint: Consider how many iterations you need to cover array creation.

Challenge and get performance evaluation