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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is memoization?
💡 Hint: Think about how it relates to reducing repetitive work.
Question 2
Easy
What is the base case in recursion?
💡 Hint: It's the stopping point for recursion.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What term refers to storing previously computed results in a recursive function?
💡 Hint: Think about the technique that helps speed up function calls.
Question 2
True or False: Memoization can improve the time complexity of certain recursive algorithms.
💡 Hint: Consider the effect on redundant calculations.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Implement a function using memoization to calculate the nth Fibonacci number in Python.
💡 Hint: Think about how to store each result in a dictionary or a similar structure.
Question 2
Given the overlapping subproblems property, compare memoization performance with simple recursion in terms of function calls for Fibonacci(6). Show how many calls are made without and with memoization.
💡 Hint: Calculate recursive calls manually or trace them out in a tree diagram.
Challenge and get performance evaluation