A push down automaton can actually store information in a stack as it processes it. It can then choose what to do next by looking at the top of the stack.
DFAs and NFAs can't do that stuff, but any DFA or NFA can also be represented as a push down automaton.
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Turing machine is similar to finite automata with read/write head. Means the difference is read/write head.
turing machine is capable of performing any calculation which can be performed by any computing machine.
Every automaton can be simulated by a Turing machine.
Turing machines can compute.
A push down automaton can actually store information in a stack as it processes it. It can then choose what to do next by looking at the top of the stack.
DFAs and NFAs can't do that stuff, but any DFA or NFA can also be represented as a push down automaton.
No, not all deterministic finite automata (DFAs) are also non-deterministic finite automata (NFAs). DFAs have a single unique transition for each input symbol, while NFAs can have multiple transitions for the same input symbol.
Yes, it is possible to show that all deterministic finite automata (DFA) are decidable.
Hi, 1. DFA cannot use empty string transition and NFS can use empty string transition. 2. It use one machine but it use multiple machine. 3. DFA is one state transition but NFA react according to some symbol.
Yes, it is possible to demonstrate that all deterministic finite automata (DFA) are in the complexity class P.
In general, finite state machines can model regular grammars. Deterministic finite automata can represent deterministic context-free grammars. Non-deterministic finite automata can represent context-free grammars.