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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define overlapping subproblems in your own words.
💡 Hint: Think about recursive problems that require the same sub-process.
Question 2
Easy
What is a basic example of a problem that uses overlapping subproblems?
💡 Hint: Recall the sequence of numbers starting from 0 and 1.
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 the term 'overlapping subproblems' refer to?
- Problems that do not share subproblems.
- Problems where the same smaller problems are solved multiple times.
- Problems that are solved in a linear manner.
💡 Hint: Remember the efficiency aspect of DP.
Question 2
True or False: Memoization is only necessary for problems without overlapping subproblems.
- True
- False
💡 Hint: Think about how DP optimizes recursive solutions.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a function that uses memoization to solve the 0/1 Knapsack problem, applying it to a dataset with given weights and values.
💡 Hint: Think about how you might decide whether to include an item based on its weight and value.
Question 2
How would you apply dynamic programming principles to the longest common subsequence problem? Provide a detailed explanation.
💡 Hint: Consider what defines a subsequence versus a substring.
Challenge and get performance evaluation