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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What are the first two Fibonacci numbers?
💡 Hint: Think about the starting point of the sequence.
Question 2
Easy
Define memoization in your own words.
💡 Hint: Consider its purpose in recursive algorithms.
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 time complexity of the naive recursive Fibonacci function?
- O(n)
- O(2^n)
- O(log n)
💡 Hint: Think about how many times Fibonacci is called for larger numbers.
Question 2
True or False: Memoization avoids redundant calculations.
- True
- False
💡 Hint: Reflect on what memoization achieves in recursive functions.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Write an optimized Fibonacci function using memoization in Python. Then compare its execution time with the naive method on increasingly larger inputs.
💡 Hint: Focus on how storing values reduces total computation time.
Question 2
Design a function that combines memoization with another recursive algorithm of your choice. Analyze the efficiency gains.
💡 Hint: Consider well-known algorithms like calculating factorials.
Challenge and get performance evaluation