Practice Approaches to Dynamic Programming - 7.4 | 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

Define memoization in your own words.

πŸ’‘ Hint: Think about caching results in an array or dictionary.

Question 2

Easy

What is the primary difference between the top-down and bottom-up approaches?

πŸ’‘ Hint: Consider how you would walk up a staircase versus building it from the ground up.

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

What is memoization?

  • Storing all results
  • Using sweeping predictions
  • Caching results of expensive calls

πŸ’‘ Hint: Think about how you can save a result to reuse later.

Question 2

Is the bottom-up approach generally faster than the top-down approach with memoization?

  • True
  • False

πŸ’‘ Hint: Consider what happens each time a recursive call is made versus a simple loop.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Implement a function using the top-down approach to solve the 0/1 knapsack problem, where you select items based on their weights and values to maximize the total value within a given weight limit.

πŸ’‘ Hint: Think about the choices you have for each item: include it or exclude it.

Question 2

Create an iterative solution for the Longest Common Subsequence (LCS) problem using the bottom-up approach.

πŸ’‘ Hint: Remember to consider character matches and the results from previous calculations.

Challenge and get performance evaluation