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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is correctness in the context of algorithms?
💡 Hint: Think about what happens if an algorithm fails to solve the problem.
Question 2
Easy
What does Big O notation help us with?
💡 Hint: Consider how you would compare two algorithms.
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 meaning of correctness in algorithms?
- A: Performance measurement
- B: Accuracy in functionality
- C: Time required for execution
💡 Hint: Think about what happens when an algorithm fails to deliver the expected results.
Question 2
True or False: Big O Notation is used to express time complexity growth as input size increases.
- True
- False
💡 Hint: Consider how you measure time complexity.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Analyze an algorithm that performs sorting. Discuss its efficiency and correctness, including any potential issues with edge cases.
💡 Hint: Consider how different scenarios can impact performance.
Question 2
Create a proof of correctness for a simple recursive algorithm, such as factorial calculation. Discuss both its base case and recursive case.
💡 Hint: Recall how to use induction to show correctness.
Challenge and get performance evaluation