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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a recursive function?
💡 Hint: Think of how factorials are computed.
Question 2
Easy
What is memoization?
💡 Hint: Remember it helps avoid repeated calculations.
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 naive recursive Fibonacci?
- O(n)
- O(log n)
- O(2^n)
💡 Hint: Consider how many calls are made in a recursion tree.
Question 2
True or False: Memoization can reduce the time complexity of recursive functions.
- True
- False
💡 Hint: Remember how it stores values.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Using dynamic programming, create an algorithm to compute the nth Fibonacci number and count how many times the function was called.
💡 Hint: Use an array to hold computed Fibonacci values and loop through for the final result.
Question 2
Propose a new recursive function incorporating memoization to compute the nth Fibonacci number in Python. Show the implementation.
💡 Hint: Choose a dictionary to map inputs to Fibonacci results.
Challenge and get performance evaluation