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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does it mean for an algorithm to be correct?
💡 Hint: Think about output consistency.
Question 2
Easy
Define asymptotic complexity.
💡 Hint: Focus on growth behavior.
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 asymptotic complexity used for?
💡 Hint: Consider how we compare algorithms.
Question 2
True or False: Greedy algorithms always guarantee the best solution.
💡 Hint: Think about their local vs global approach.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Propose a divide and conquer solution for finding the maximum element in an unsorted array. Explain how it would work.
💡 Hint: Think about dividing the problem into two smaller arrays.
Question 2
Create a scenario where a greedy algorithm would fail to find the optimal solution. Explain why it fails.
💡 Hint: Consider the context of making change.
Challenge and get performance evaluation