Practice Using Arrays for Rows, Columns, and Diagonals - 32.2.1 | 32. Backtracking, N queens - Part B | Data Structures and Algorithms in Python
K12 Students

Academics

AI-Powered learning for Grades 8–12, aligned with major Indian and international curricula.

Academics
Professionals

Professional Courses

Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.

Professional Courses
Games

Interactive Games

Fun, engaging games to boost memory, math fluency, typing speed, and English skillsβ€”perfect for learners of all ages.

games

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the key representation for squares under attack by a queen?

πŸ’‘ Hint: Think about what information needs to be stored.

Question 2

Easy

How many directions can a queen attack from a single position?

πŸ’‘ Hint: Consider the nature of the queen's movements.

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 kind of data structure can optimize the representation of queen attacks?

  • Array
  • Nested Dictionary
  • Linked List

πŸ’‘ Hint: Consider structures that can hold multiple discrete elements.

Question 2

Diagonal invariance simplifies our board's representation. True or False?

  • True
  • False

πŸ’‘ Hint: Think about the relationships between coordinate values.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Solve the N-Queens problem for N=5 using the representations we discussed and identify how many unique placements can be made without attacks.

πŸ’‘ Hint: Use nested loops and systematic checks against your attack states.

Question 2

Devise an optimization to reduce the time complexity of checking if a square is under attack using the current positional states.

πŸ’‘ Hint: Consider how data structures can enhance lookup efficiency.

Challenge and get performance evaluation