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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the purpose of proving the correctness of an algorithm?
💡 Hint: Think about trust in the outcome.
Question 2
Easy
What does Big O notation indicate?
💡 Hint: How does input size affect performance?
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 is the primary goal of algorithm correctness?
- Efficiency
- Trust in output
- Speed
💡 Hint: Think about reliability.
Question 2
Does a greedy algorithm make local or global decisions?
- Local
- Global
💡 Hint: Focus on immediate options.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Consider a scenario where a greedy algorithm seems to work, but testing shows it fails on specific inputs. Discuss why this could happen and what you would recommend.
💡 Hint: Reflect on real-world examples where local decisions lead to larger issues.
Question 2
Explain how you could leverage dynamic programming to optimize a solution to a problem that would traditionally use divide and conquer.
💡 Hint: Think about how Fibonacci involves recalculating the same values repeatedly.
Challenge and get performance evaluation