Practice Lecture - 45 - 24.1.1 | 24. Module – 02 | Design & Analysis of Algorithms - Vol 2
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Lecture - 45

24.1.1 - Lecture - 45

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Learning

Practice Questions

Test your understanding with targeted questions

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.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

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.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

Challenge 2 Hard

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.

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