24.2.4 - Memoization Technique
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Practice Questions
Test your understanding with targeted questions
What is memoization?
💡 Hint: Think about how it relates to reducing repetitive work.
What is the base case in recursion?
💡 Hint: It's the stopping point for recursion.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What term refers to storing previously computed results in a recursive function?
💡 Hint: Think about the technique that helps speed up function calls.
True or False: Memoization can improve the time complexity of certain recursive algorithms.
💡 Hint: Consider the effect on redundant calculations.
1 more question available
Challenge Problems
Push your limits with advanced challenges
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.
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.
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.