Practice - Big O Notation
Practice Questions
Test your understanding with targeted questions
What does Big O Notation describe?
💡 Hint: Think about what efficiency means in terms of input size.
Give an example of an algorithm with O(n) time complexity.
💡 Hint: Consider how you would search through a list.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What does Big O Notation measure?
💡 Hint: Remember the focus on performance measurement.
True or False: Linear search has a time complexity of O(log n).
💡 Hint: Think about how items in a list are processed.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
You have two algorithms, A with O(n) and B with O(n^2). If you are required to process an input of size 10,000 for both algorithms, compare the time taken assuming a constant factor of 1.
💡 Hint: Calculate the time taken by each algorithm by substituting n into their respective complexities.
Explain why an algorithm with exponential time complexity might be infeasible for a small increase in input size, say from n=20 to n=21.
💡 Hint: Think about how quickly powers of 2 increase.
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.