stateminimization
State minimization is a process in automata theory and computer science used to reduce the number of states in a finite automaton while preserving its recognized language. This is often done to optimize the performance of systems that rely on finite state machines, such as parsers, controllers, and circuit designs.
The goal of state minimization is to find an equivalent automaton with the fewest possible states. An
A common algorithm for DFA state minimization is the partition refinement method. This approach starts by grouping
Another related concept is indistinguishability. Two states in an automaton are indistinguishable if, for any input