Feel free to comment in English below o/
Lazy DFAs (2010) are a clever optimization to mitigate the O(2^m) blowup of DFA construction, by only constructing the states that you actually visit. lazy DFAs reduce the theoretical automata construction time to either O(2^m) or O(n), whichever is lower. you could argue that it’s theoretically no longer linear time, since you could have a regex that creates a new state for every character in the input, but in practice you will keep revisiting the same states. for all intents and purposes it behaves more like O(n) with some initial wind-up time. the main downside of lazy DFAs is that they are more complex to implement, and you have to ship a compiler as part of your regex algorithm. i want to highlight Rust regex and RE2 as excellent implementations of this approach, which you can also see in the benchmarks.
Systematic scaling, found phase transition at d=16，这一点在下载安装汽水音乐中也有详细论述
Последние новости。关于这个话题，爱思助手下载最新版本提供了深入分析
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the last safety net is that we can also configure a hard limit on the number of states, and you will hit that limit with an exception before running into an infinite loop. another possible safety net is to just bound the context distance: a(?=.{0,100}b) and not consider context after 100 characters.