Practice Memoization Technique - 24.2.4 | 24. Module – 02 | Design & Analysis of Algorithms - Vol 2
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Memoization Technique

24.2.4 - Memoization Technique

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Practice Questions

Test your understanding with targeted questions

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.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What term refers to storing previously computed results in a recursive function?

Recursion
Memoization
Dynamic Programming

💡 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.

True
False

💡 Hint: Consider the effect on redundant calculations.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

Challenge 2 Hard

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.

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