Practice Dp Vs Recursion Vs Greedy Algorithms (7.3) - Understand the Principles of Dynamic Programming for Algorithmic Optimization
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DP vs Recursion vs Greedy Algorithms

Practice - DP vs Recursion vs Greedy Algorithms

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is dynamic programming?

💡 Hint: Think about whether problems have overlapping solutions.

Question 2 Easy

Define recursion in your own words.

💡 Hint: It's about function calls within themselves.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

Which algorithm guarantees an optimal solution?

Recursion
Greedy Algorithms
Dynamic Programming

💡 Hint: Think of the definition of each approach.

Question 2

True or False: Greedy algorithms do not guarantee an optimal solution.

True
False

💡 Hint: Recall the greedy approach focus.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design an algorithm using dynamic programming to solve the 0/1 Knapsack problem. Explain your approach and why you chose DP.

💡 Hint: Focus on overlapping subproblems.

Challenge 2 Hard

Create a greedy algorithm for job scheduling. Discuss scenarios where this approach might fail.

💡 Hint: Think about global optimum vs local best.

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Reference links

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