A nondeterministic finite automaton (NFA) is a theoretical model of computation that can be in multiple states at once and can transition between states without requiring an input symbol. This flexibility allows NFAs to recognize patterns more efficiently than deterministic finite automata (DFAs) because they can take different paths for the same input. NFAs can also include epsilon transitions, which enable the automaton to change states without consuming any input symbols, adding to their expressive power in recognizing regular languages.
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