This content originally appeared on DEV Community and was authored by Nabil Tharwat
This is a submission for DEV Computer Science Challenge v24.06.12: One Byte Explainer.
Explainer
Big O describes the efficiency of the worst case scenario of an algorithm. It helps categorize algorithms, but isn't accurate to describe real performance. An algorithm that does constant time O(1) may be slower due to complexity than a linear one O(N).
This content originally appeared on DEV Community and was authored by Nabil Tharwat
Nabil Tharwat | Sciencx (2024-06-21T11:30:50+00:00) Big O Notation. Retrieved from https://www.scien.cx/2024/06/21/big-o-notation-6/
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