Changing std:sort at Google’s scale and beyond
I'm starting to question my understanding of algorithmic complexity, the author says things like "complexity being worst case O(n \log n)" and seems to talk about big O notation used for average cases as well.<p>I've learned that big O notation is always and exclusively about the worst case, for average and best cases we use Theta Θ and Omega Ω, respectively.<p>Do people not follow these definitions strictly? Has the author committed a mistake or am I missing something?<p>I did experience an interviewer once saying that my complexity analysis was wrong as the worst case would be extremely rare to hit, I did try to explain nicely that big O notation is always about the worst case, and that they were thinking about big Theta instead, now I wonder if I was wrong.