Practice - Big-O Notation (O)
Practice Questions
Test your understanding with targeted questions
What is Big-O notation?
💡 Hint: Think about how it relates to input size and running time.
Give an example of a constant time complexity.
💡 Hint: This time complexity doesn't change with the size of the input.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does Big-O Notation represent?
💡 Hint: Think about what aspect of running time it measures.
True or False - O(1) is a constant growth rate.
💡 Hint: Does the running time change based on input size?
2 more questions available
Challenge Problems
Push your limits with advanced challenges
Design a sorting algorithm that operates within O(n log n) complexity and explain why it is efficient for large datasets.
💡 Hint: What method do these sorting algorithms use?
Conceptualize an algorithm to find the maximum element in an unsorted list of n elements, and analyze its time complexity.
💡 Hint: What is the process of finding elements in an unsorted list?
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Reference links
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