Practice Computational Challenges - 23.8 | 23. Dynamic Programming | Design & Analysis of Algorithms - Vol 2
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Computational Challenges

23.8 - Computational Challenges

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define factorial using inductive definitions.

💡 Hint: What is the base case for factorial?

Question 2 Easy

What does the term 'memoization' mean?

💡 Hint: Think of it as a cheat sheet.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is dynamic programming?

A method for solving equations
A programming language
A technique for solving complex problems efficiently

💡 Hint: Think about the best way to tackle difficult problems.

Question 2

True or False: Memoization helps in reducing the computation time by storing previous function results.

True
False

💡 Hint: Does caching sounds like a time-saving strategy to you?

3 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given a set of jobs each with a start time, finish time, and weight, outline an algorithm to maximize total weight for the interval scheduling problem.

💡 Hint: How would you store previously calculated weights to optimize your solution?

Challenge 2 Hard

Create a recursive solution for calculating the nth Fibonacci number using inductive definitions and then improve it using dynamic programming.

💡 Hint: Consider how each Fibonacci number builds off the previous two.

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