1.8 - Textbooks
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Practice Questions
Test your understanding with targeted questions
What is the purpose of proving an algorithm's correctness?
💡 Hint: Consider what makes an algorithm reliable.
Define asymptotic complexity in relation to algorithm efficiency.
💡 Hint: Think about how we compare algorithms.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does the Big O notation represent?
💡 Hint: Remember what we want to compare when looking at algorithms.
True or False: A greedy algorithm always finds the global optimal solution.
💡 Hint: Consider examples where a greedy choice might backfire.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Consider a problem where you have a list of numbers and need to find the median. Design an algorithm using both sorting and a divide and conquer approach, compare their efficiencies.
💡 Hint: Which algorithm would you prefer if you were given a much larger dataset?
You need to design a web service that responds to a user query in less than a second. Analyze how your choice of data structure could affect your service's response time. Discuss alternatives if your initial choice is not optimized enough.
💡 Hint: What happens when your dataset grows very large?
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Reference links
Supplementary resources to enhance your learning experience.