Periodically I come across sentences like
"Winograd's variant [20] of this algorithm, whose asymptotic complexity is also $O(n^{2.81})$ are considered" (from https://www.cise.ufl.edu/~sahni/papers/strassen.pdf)
I understand intuitively how we end up with complexities like $O(n^2)$ and $O(n \log n)$ because I can see how the loops and trees work. But I've got no idea of how one ends up deriving a complexity with a decimal. Can someone give me an example how this happens?