3 ms·
I think that they main stumbling point for many people is the fact that Big-O notation is aimed asymptotically; in other words, it is only concerned about the p
by michael_dorfman 17y ago
I think that they main stumbling point for many people is the fact that Big-O notation is aimed asymptotically; in other words, it is only concerned about the performance of an algorithm (for example) when you have a bazillion items to process. If you're dealing with real-world (limited) cases, you need to pay attention to the constants-- those "uninteresting details" get interesting very quick.
- scscsc 17y agoYou get to choose which details to ignore. Making the wrong choice will of course lead to invalid results. No model is perfect, but some models are useful.