Can you explain Big O notation with some examples?
Sure! Big O notation is a way to describe the efficiency of an algorithm in terms of time or space. For example, O(1) means constant time, O(n) means linear time, and O(n^2) means quadratic time.
Can you give me a specific example of O(n)?
Absolutely! A common example of O(n) is a simple loop that iterates through an array. If you have an array of n elements, the loop will run n times.
What about O(n^2)? Any real-world example?
Yes! A classic example of O(n^2) is the bubble sort algorithm, where you have nested loops that compare each element with every other element.
How does Big O notation help in algorithm design?
Big O notation helps in understanding the scalability of algorithms. It allows developers to predict how an algorithm will perform as the input size grows.
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