What is Big O notation in data structures?
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What is Big O notation in data structures?
Big O notation is a mathematical concept used to describe the performance or complexity of an algorithm, particularly in terms of time and space as the input size grows.
Can you give me an example of how it works?
Sure! For example, if you have a loop that runs 'n' times, its time complexity is O(n). If you have a nested loop, it would be O(n^2).
What are some common Big O complexities I should know?
Some common complexities include O(1) for constant time, O(log n) for logarithmic time, O(n) for linear time, and O(n log n) for linearithmic time.
How does Big O help in choosing data structures?
Big O helps you understand the efficiency of different data structures for various operations, guiding you to choose the best one for your needs.
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