Practice Memoization and Dynamic Programming - 23.9 | 23. Dynamic Programming | Design & Analysis of Algorithms - Vol 2
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is dynamic programming?

💡 Hint: Think of how recursive functions work.

Question 2

Easy

What is the base case in the factorial function?

💡 Hint: Consider what the output should be for zero!

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 does dynamic programming generally focus on?

  • Recursive approaches
  • Iterative processes built on stored results
  • Sorting algorithms only

💡 Hint: Think about how dynamic programming reduces repeated calculations.

Question 2

True or False: Memoization is a technique that stores previously computed results.

  • True
  • False

💡 Hint: Consider whether ideas have been repeated in your study.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given an array of weights and values, determine how to maximize value with a weight limit using dynamic programming.

💡 Hint: Think of how you can compute values iteratively based on smaller weight limits.

Question 2

Devise a dynamic programming algorithm to find the longest common subsequence of two strings.

💡 Hint: What relationships can you derive between characters of the strings?

Challenge and get performance evaluation