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  2. Thompson's construction - Wikipedia

    en.wikipedia.org/wiki/Thompson's_construction

    The algorithm works recursively by splitting an expression into its constituent subexpressions, from which the NFA will be constructed using a set of rules. [3] More precisely, from a regular expression E , the obtained automaton A with the transition function Δ [ clarification needed ] respects the following properties:

  3. Nondeterministic finite automaton - Wikipedia

    en.wikipedia.org/wiki/Nondeterministic_finite...

    Union (cf. picture); that is, if the language L 1 is accepted by some NFA A 1 and L 2 by some A 2, then an NFA A u can be constructed that accepts the language L 1 ∪L 2. Intersection; similarly, from A 1 and A 2 an NFA A i can be constructed that accepts L 1 ∩L 2. Concatenation; Negation; similarly, from A 1 an NFA A n can be constructed ...

  4. Powerset construction - Wikipedia

    en.wikipedia.org/wiki/Powerset_construction

    The NFA below has four states; state 1 is initial, and states 3 and 4 are accepting. Its alphabet consists of the two symbols 0 and 1, and it has ε-moves. The initial state of the DFA constructed from this NFA is the set of all NFA states that are reachable from state 1 by ε-moves; that is, it is the set {1,2,3}.

  5. Glushkov's construction algorithm - Wikipedia

    en.wikipedia.org/wiki/Glushkov's_construction...

    In computer science theory – particularly formal language theory – Glushkov's construction algorithm, invented by Victor Mikhailovich Glushkov, transforms a given regular expression into an equivalent nondeterministic finite automaton (NFA).

  6. A GNFA must have only one transition between any two states, whereas a NFA or DFA both allow for numerous transitions between states. In a GNFA, a state has a single transition to every state in the machine, although often it is a convention to ignore the transitions that are labelled with the empty set when drawing generalized nondeterministic ...

  7. NFA minimization - Wikipedia

    en.wikipedia.org/wiki/NFA_minimization

    In automata theory (a branch of theoretical computer science), NFA minimization is the task of transforming a given nondeterministic finite automaton (NFA) into an equivalent NFA that has a minimum number of states, transitions, or both. While efficient algorithms exist for DFA minimization, NFA minimization is PSPACE-complete. [1]

  8. DFA minimization - Wikipedia

    en.wikipedia.org/wiki/DFA_minimization

    Reversing the transitions of a non-deterministic finite automaton (NFA) and switching initial and final states [note 1] produces an NFA for the reversal of the original language. Converting this NFA to a DFA using the standard powerset construction (keeping only the reachable states of the converted DFA) leads to a DFA M D R {\displaystyle M_{D ...

  9. Alternating finite automaton - Wikipedia

    en.wikipedia.org/wiki/Alternating_finite_automaton

    Chandra et al. [1] proved that converting an -state AFA to an equivalent DFA requires states in the worst case, though a DFA for the reverse language can be constructued with only states. Another construction by Fellah, Jürgensen and Yu.

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