Practice - Efficiency
Practice Questions
Test your understanding with targeted questions
What is the significance of measuring the worst-case performance of an algorithm?
💡 Hint: Think about the scenario where the desired value is not present in the dataset.
Explain what Big O notation represents.
💡 Hint: Consider how the execution time grows with increasing input size.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is the purpose of worst-case analysis in algorithms?
💡 Hint: Think about scenarios where performance can be at its slowest.
Is Big O notation used for best-case performance assessments?
💡 Hint: Consider what it means to define an algorithm's limits.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Given that an algorithm has a time complexity of O(n^2), estimate the largest input size it can handle if you require it to run in under 5 seconds with computational power estimated at 10^7 operations per second.
💡 Hint: Remember to set up the equation based on complexity and expected execution time.
Propose an efficient algorithm for searching through a sorted list and describe its efficiency with respect to Big O notation.
💡 Hint: Think about how the algorithm narrows down the search space.
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Reference links
Supplementary resources to enhance your learning experience.