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Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define Big O notation.
💡 Hint: Think about how we express algorithm efficiency.
Question 2
Easy
What is the purpose of proving an algorithm's correctness?
💡 Hint: Consider the impact of incorrect algorithms.
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 does Big O notation measure?
💡 Hint: Consider how Big O is defined.
Question 2
True or False: All greedy algorithms provide an optimal solution.
💡 Hint: Consider examples where greedy does not yield the best result.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
Propose an algorithm that uses the greedy approach to solve the change-making problem. Discuss its efficiency and potential drawbacks.
💡 Hint: Consider coin denominations and how greedy selection might lead to suboptimal solutions.
Question 2
Given an array, devise a divide and conquer algorithm to find the maximum element. Explore the time complexity of your solution.
💡 Hint: Reflect on how you are breaking the problem down into smaller pieces.
Challenge and get performance evaluation