I don't have a CS degree either but I know what Omega means with regards to Big O. I don't think that that should really be required and I don't see why a gloss

I don't have a CS degree either but I know what Omega means with regards to Big O. I don't think that that should really be required and I don't see why a glossary would be a problem. Omega is used for many things across many maths. > So I'd expect that someone building libraries for data structures does understand it (or could refresh their memory). Why? It's not related to the same skillset. I can and have built data structures from papers and I don't think that memorizing the greek alphabet is a useful prerequisite. > And again, with something like Ω, if you don't understand it, a glossary will not help you. No one is asking for a wikipedia quote. Just "Ω: Referring to the asymptotic complexity bound" or something like that would be fine and provide plenty of context. > If you see "probabilitly 1-δ", you can expect that means "close to 100%" How nice for you but I can not do that.