NFAs are cheaper to construct, but have a O(n*m) matching time, where n is the size of the input and m is the size of the state graph. NFAs are often seen as the reasonable middle ground, but i disagree and will argue that NFAs are worse than the other two. they are theoretically “linear”, but in practice they do not perform as well as DFAs (in the average case they are also much slower than backtracking). they spend the complexity in the wrong place - why would i want matching to be slow?! that’s where most of the time is spent. the problem is that m can be arbitrarily large, and putting a large constant of let’s say 1000 on top of n will make matching 1000x slower. just not acceptable for real workloads, the benchmarks speak for themselves here.
30-летняя манекенщица предстала на обложке глянца в желтой облегающей юбке с разрезом посередине и прозрачной блузе в горох. В руках она держала черную сумку. При этом голова звезды с объемной укладкой лежала вверх ногами поодаль на лестнице.。搜狗输入法2026对此有专业解读
63-летняя Деми Мур вышла в свет с неожиданной стрижкой17:54，这一点在safew官方版本下载中也有详细论述
Фото: РИА Новости