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Practice Questions
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 the outputs given different valid inputs.
Question 2
Easy
Explain Big O notation in your own words.
💡 Hint: Consider how algorithm efficiency is expressed mathematically.
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 main goal of algorithm correctness?
- To ensure efficiency
- To ensure the algorithm works as expected
- To reduce memory usage
💡 Hint: Consider what makes an algorithm reliable.
Question 2
True or False: Asymptotic complexity measures the efficiency of an algorithm based on how the running time changes with input size.
- True
- False
💡 Hint: Think about the relevance of input size in algorithm analysis.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Create an algorithm to sort a list using the divide and conquer method. Document each step you will take.
💡 Hint: Consider how the list is divided and then the methods of combining them.
Question 2
Evaluate a problem where a greedy approach seems attractive but leads to error. Explain the shortcomings of this approach.
💡 Hint: Reflect on scenarios where early choices limit future options.
Challenge and get performance evaluation