1.6.1 - Week 1: Motivation and Asymptotic Complexity
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Practice Questions
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Define asymptotic complexity.
💡 Hint: Think about how we measure algorithm performance as input scales.
What does a greedy algorithm do?
💡 Hint: Recall the approach involves local optimal choices.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is Big O notation used for?
💡 Hint: It's about evaluating how algorithms behave with larger inputs.
True or False: A greedy algorithm guarantees the best solution.
💡 Hint: Think about local versus global optimality.
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Challenge Problems
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Devise a way to compare the efficiency of two sorting algorithms using Big O analysis. What factors would you consider?
💡 Hint: Focus on how input sizes influence performance differences.
Design an original algorithm to solve a real-life problem using either greedy approach or dynamic programming. Justify your method.
💡 Hint: Choose problems with overlapping subproblems for dynamic programming.
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