Practice Inductive Solution Approach - 23.7 | 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 an inductive definition?

💡 Hint: Think about how factorial is defined.

Question 2

Easy

What does the base case of a recursive function provide?

💡 Hint: Consider what happens when n=0 in factorial.

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 an inductive definition allow?

  • Defining functions iteratively
  • Defining functions based on smaller cases
  • Neither

💡 Hint: Think of how factorial is structured.

Question 2

True or False: The optimal substructure property means a problem can be solved by combining solutions of subproblems.

  • True
  • False

💡 Hint: Recall the definitions of optimal substructure.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Using dynamic programming, calculate the number of ways to reach the nth Fibonacci number without recalculating each intermediate step.

💡 Hint: Remember how Fibonacci builds on previous results.

Question 2

Devise an optimal solution for a modified interval scheduling problem where each request has a different weight based on the value of the request.

💡 Hint: Think about prioritizing requests based on weight versus duration.

Challenge and get performance evaluation