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What does O(N) Linear Time mean?

It means the runtime of the algorithm grows directly and proportionally with the size of the input data.

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More FAQs in Understanding O(N) Linear Time Complexity

Almost always, assuming it iterates from 0 to N. If the loop increments by multiplying (i *= 2), it is logarithmic, not linear.

Methods like 'indexOf' or 'includes' cannot magically find data; they run a hidden for-loop through the array to check each element, which takes O(N) time.

Yes, because Big O classifies the algorithm based on its worst-case potential, which would be searching the entire array without finding the item until the end.

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