1.2.2 - Efficiency of Algorithms
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Practice Questions
Test your understanding with targeted questions
Define Big O notation.
💡 Hint: Think about how we express algorithm efficiency.
What is the purpose of proving an algorithm's correctness?
💡 Hint: Consider the impact of incorrect algorithms.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does Big O notation measure?
💡 Hint: Consider how Big O is defined.
True or False: All greedy algorithms provide an optimal solution.
💡 Hint: Consider examples where greedy does not yield the best result.
2 more questions available
Challenge Problems
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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.
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.
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