Non-deterministic finite automata

A Non-deterministic Finite Automaton (NFA) is a theoretical model used in computer science to recognize patterns or sets of strings. Unlike deterministic automata, where the next move is fixed based on the current state and input, an NFA can choose multiple possible moves for a given situation. It "explores" all options simultaneously, accepting a string if any path leads to an accepting state. This flexibility makes NFAs a powerful way to understand and analyze pattern recognition, language parsing, and computational problems, serving as a foundation for designing algorithms and understanding how machines process information.