1.2 - Key Aspects of Algorithms
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Practice Questions
Test your understanding with targeted questions
What is the purpose of asymptotic complexity?
💡 Hint: Think about how it describes algorithm efficiency.
Define algorithm correctness.
💡 Hint: What do we check to prove an algorithm works?
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is big O notation used for?
💡 Hint: Think about its role in performance analysis.
True or False: A greedy algorithm always guarantees an optimal solution.
💡 Hint: Consider scenarios where this might not hold true.
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Challenge Problems
Push your limits with advanced challenges
Design an algorithm using the divide and conquer technique to find the maximum element in an array.
💡 Hint: Think of how to break the problem down into manageable parts.
Analyze the efficiency of a greedy algorithm in solving the coin change problem. Does it always provide the optimal solution?
💡 Hint: Consider varying coin denominations and how they impact results.
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