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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the typical time complexity for dynamic programming problems?
π‘ Hint: Think of the dimensions of the DP table.
Question 2
Easy
What is space complexity?
π‘ Hint: Consider how memory usage grows with input size.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the time complexity for dynamic programming?
π‘ Hint: Consider how subproblems interact.
Question 2
True or False: Rolling arrays always increase the time complexity.
π‘ Hint: Think about what rolling arrays actually do.
Solve and get performance evaluation
Push your limits with challenges.
Question 1
Consider a DP problem that requires O(nΒ²) time and O(n) space. If you use rolling arrays, what will be the time and space complexity?
π‘ Hint: Focus on what rolling arrays replace.
Question 2
You are solving the 0/1 Knapsack problem. Explain how the two rows approach can optimize memory usage.
π‘ Hint: Visualize how only recent information is needed.
Challenge and get performance evaluation