Abstract
When we do a computation, we would like to do it as fast as possible, or at least pretty fast. In order to talk about (roughly) what that means, we need to introduce big O notation. Let f(x) and g(x) be two functions, we say that \(f(x)=O(g(x))\) if there is some constant \(C>0\), which does not depend on x, so that
for all x.
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Rubinstein-Salzedo, S. (2018). Big O Notation and Algorithm Efficiency. In: Cryptography. Springer Undergraduate Mathematics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-94818-8_8
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DOI: https://doi.org/10.1007/978-3-319-94818-8_8
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