State complexity refers to the minimum number of states required in a finite automaton, such as a DFA or NFA, to recognize a particular regular language. This concept is crucial when comparing different computational models, as it helps in understanding the efficiency and capability of these models in processing strings defined by regular expressions. By analyzing state complexity, one can evaluate how different representations of a language can affect the resources needed for computation.
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