Practice Generic Memoization - 24.2.7 | 24. Module – 02 | Design & Analysis of Algorithms - Vol 2
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is memoization?

💡 Hint: Think of it as a way to remember previous calculations.

Question 2

Easy

List the base cases for the Fibonacci sequence.

💡 Hint: These are the starting points of the Fibonacci series.

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 memoization aim to achieve?

  • Store function results
  • Make recursion faster
  • Both

💡 Hint: Consider both aspects of what memoization does.

Question 2

True or False: Dynamic programming and memoization are the same.

  • True
  • False

💡 Hint: Think about how each method tackles the problem.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Implement a memoized version of the Fibonacci function in a language of your choice, and analyze its performance compared to the naive version.

💡 Hint: Use a simple test with increasing values of n.

Question 2

Design a recursive algorithm for computing factorial numbers using memoization. Compare its implementation with a naive iterative approach.

💡 Hint: Factorials grow quickly; how would caching help here?

Challenge and get performance evaluation