What is time complexity in loops?
Time complexity measures how the runtime of an algorithm increases with the size of the input. In loops, it helps us understand how many times the loop will run based on the input size.
Can you explain how to calculate the time complexity of a simple for loop?
Sure! For a simple for loop that runs from 1 to n, the time complexity is O(n) because it iterates n times.
What about nested loops? How does that affect time complexity?
Nested loops multiply their time complexities. For example, if you have two nested loops each running n times, the overall time complexity is O(n^2).
Are there any exceptions or special cases I should be aware of?
Yes, some loops may have early exits or conditions that affect their runtime, which can lead to different time complexities than the worst-case scenario.
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