Practice DP vs Recursion vs Greedy Algorithms - 7.3 | 7. Understand the Principles of Dynamic Programming for Algorithmic Optimization | Data Structure
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is dynamic programming?

πŸ’‘ Hint: Think about whether problems have overlapping solutions.

Question 2

Easy

Define recursion in your own words.

πŸ’‘ Hint: It's about function calls within themselves.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

Which algorithm guarantees an optimal solution?

  • Recursion
  • Greedy Algorithms
  • Dynamic Programming

πŸ’‘ Hint: Think of the definition of each approach.

Question 2

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

  • True
  • False

πŸ’‘ Hint: Recall the greedy approach focus.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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

πŸ’‘ Hint: Focus on overlapping subproblems.

Question 2

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

πŸ’‘ Hint: Think about global optimum vs local best.

Challenge and get performance evaluation